# Ledgerium AI > Ledgerium AI records real browser-based workflows and turns them into SOPs, process maps, workflow intelligence reports, and AI opportunity reports. The core idea: most process documentation is written from memory, so it is outdated and incomplete. Ledgerium documents from real recorded work instead. No screenshots and no keystrokes are captured; it records structured interaction events with timing and system context. ## Key entry points - [Product overview](https://ledgerium.ai/product): how recording produces SOPs, process maps, and intelligence - [Pricing](https://ledgerium.ai/pricing): Free (5 workflows/mo), Starter $49, Team $249, Growth $799 - [Workflow library](https://ledgerium.ai/workflow-library): how to document specific business workflows - [SOP templates](https://ledgerium.ai/sop-templates): editable SOP structures plus generation from real work - [AI opportunities](https://ledgerium.ai/ai-opportunities): where AI and automation help, by function ## Definitions & answers Index: https://ledgerium.ai/answers - [What is process intelligence?](https://ledgerium.ai/answers/what-is-process-intelligence): Process intelligence is the practice of analyzing how work actually happens from recorded events. Learn what it means, how it works, and why it matters. Process intelligence is the practice of understanding how a business process really runs by analyzing recorded events from the actual work — the clicks, systems, timing, and handoffs — rather than how people remember it. It turns real execution data into maps, metrics, and improvement opportunities. From Ledgerium recordings: In Ledgerium recordings, most of a process's elapsed time is wait time between systems and approvers, not active work — a split that only becomes visible once each step is timestamped from real execution rather than estimated from memory. - [What is process mining?](https://ledgerium.ai/answers/what-is-process-mining): Process mining reconstructs how a process actually ran by analyzing the event logs systems already keep. Learn how the method works and what it needs. Process mining is a technique that reconstructs how a business process actually ran by analyzing the timestamped event logs that IT systems leave behind — logins, tickets, transactions, status changes — and reassembling them into a process map, timing, and variants without watching anyone work. From Ledgerium recordings: Because Ledgerium records the browser session directly, a single recorded workflow captures steps across unrelated systems — a CRM, a spreadsheet, an email client — in one continuous event stream, something a log-based process-mining export from any one of those systems alone cannot do. - [Process mining vs task mining](https://ledgerium.ai/answers/process-mining-vs-task-mining): Process mining analyzes system event logs; task mining observes screen-level user activity. Compare what each needs, produces, and where they overlap. Process mining reconstructs a process from the timestamped event logs that IT systems already keep, while task mining observes a person's actual screen activity — clicks, keystrokes, app switches — to capture work that never touches a loggable system. Most real processes need both to see the full picture. From Ledgerium recordings: Ledgerium's recordings work like task mining, not process mining: every workflow captures the exact element clicked and the system it occurred in for each step, a level of interface detail no system-log export used for process mining ever contains. - [What is task mining?](https://ledgerium.ai/answers/what-is-task-mining): Task mining captures how people actually work by observing screen-level activity — clicks, keystrokes, and app switches. Learn what it captures and why. Task mining is the practice of observing a person's real screen-level activity — the clicks, keystrokes, field entries, and application switches — as they perform a piece of work, in order to reconstruct exactly how that work happens, including the manual and cross-application steps that never appear in any system's logs. From Ledgerium recordings: Ledgerium's task-mining recordings capture the exact element clicked and the system it occurred in for every step, which is what lets a workflow's automation-opportunity score be computed from real repetition patterns rather than a self-reported estimate of how often a task repeats. - [Process map vs flowchart](https://ledgerium.ai/answers/process-map-vs-flowchart): A flowchart diagrams a sequence of steps and decisions; a process map adds real systems, timing, and variants from how work actually happens. See how. A flowchart is a generic diagram of steps and decision points, usable for any kind of logic. A process map is a flowchart applied specifically to a business process, and — when built from real execution data — it adds the systems each step runs in, how long each step takes, and the variants and exceptions that occurred, not just the intended sequence. From Ledgerium recordings: When Ledgerium builds a process map from a recorded workflow, the map routinely surfaces variant paths and rework loops that were not part of the process as anyone described it beforehand — differences that only became visible once the real execution was recorded step by step. - [What is an SOP?](https://ledgerium.ai/answers/what-is-an-sop): An SOP is a written, step-by-step document that defines exactly how a task should be performed. Learn what belongs in one and why they go out of date. A standard operating procedure, or SOP, is a written document that spells out the exact steps someone should follow to complete a specific task the same way every time. Its purpose is consistency — making sure the task produces the same result no matter who performs it, and giving new people a reliable reference for how the work is done. From Ledgerium recordings: Ledgerium can generate a draft SOP's procedure section directly from a single recorded run of a task, producing the ordered steps, systems, and timing without anyone having to write the procedure from memory first. - [What is a document workflow?](https://ledgerium.ai/answers/what-is-a-document-workflow): A document workflow is the sequence of steps a document moves through — creation, review, approval, storage — across the people and systems involved. A document workflow is the sequence of steps a document moves through from creation to its final state — being drafted, reviewed, edited, approved, signed, filed, or shared — along with the people and systems involved at each step. It describes the path a document takes through a process, not the content of the document itself. From Ledgerium recordings: In Ledgerium recordings of document-centric workflows, a significant share of total elapsed time is typically the document sitting untouched between handoffs — in an inbox or approval queue — rather than time spent actively working on it. - [What is cycle time?](https://ledgerium.ai/answers/what-is-cycle-time): Cycle time is the elapsed time from when a process starts to when it finishes. Learn what it includes, how it's measured, and why wait time matters. Cycle time is the total elapsed time it takes for a process to run from its starting point to its finish — the sum of both the time actively spent working on it and the time it spends waiting between steps. It's usually measured directly from timestamped records of when each step started and ended, not estimated. From Ledgerium recordings: Across Ledgerium recordings, breaking cycle time down step by step routinely shows that a small number of handoffs — not the number of steps — account for most of a process's total elapsed time. ## Workflow documentation guides Index: https://ledgerium.ai/workflow-library - [How to document an invoice approval workflow](https://ledgerium.ai/workflow-library/invoice-approval-workflow): Document your invoice approval workflow by recording it once. Get an SOP, a process map, and the approval steps, exceptions, and timing captured from real work. To document an invoice approval workflow, record someone actually approving an invoice from receipt to payment, then turn that recording into a step-by-step SOP and a process map, and review it with the approver. The steps usually are: receive the invoice, match it to a purchase order, check coding and approval limits, route for approval, and post for payment. Ledgerium records the real approval in the browser and generates the SOP, process map, and a workflow intelligence report that shows where approvals wait and stall. From Ledgerium recordings: In invoice approval, most cycle time is wait time, not work time. Ledgerium separates the two by recording the timestamp of each step, so the report shows how long an invoice sits between routing and approval rather than how long the approval click takes. - [How to document a customer onboarding workflow](https://ledgerium.ai/workflow-library/customer-onboarding-workflow): Document your customer onboarding workflow by recording it once. Capture the real handoffs and system steps, and generate an SOP and a process map. To document a customer onboarding workflow, record the real onboarding from signed deal to activated account, then generate a step-by-step SOP and a process map from it and review it with the team that runs it. Onboarding usually spans several systems and several people, which is exactly why it drifts from any document written from memory. Ledgerium records the actual onboarding in the browser, captures the handoffs and waiting points, and generates the SOP, the process map, and a report showing where new customers stall. From Ledgerium recordings: Onboarding delay usually lives in handoffs between teams, not inside any single task. Ledgerium timestamps each step, so the report shows how long a new customer waits at each handoff rather than only how long the active work takes. - [How to document a month-end close workflow](https://ledgerium.ai/workflow-library/month-end-close-workflow): Document your month-end close by recording it once. Capture the real reconciliations, journal entries, and review steps, and generate an SOP and process map. To document a month-end close, record the real close as the accountant runs it, from reconciliations to locking the period, then generate a step-by-step SOP and a process map from the recording. The close is a long checklist spread across the accounting system, spreadsheets, and bank portals, which is why a written-from-memory version always misses steps. Ledgerium records the actual close in the browser, captures the order and the handoffs, and generates the SOP, the process map, and a report that shows which close tasks take the longest. From Ledgerium recordings: The month-end close is mostly serial dependencies, one task cannot start until another finishes. Ledgerium timestamps each step, so the report shows which dependency is the real bottleneck holding up the close rather than which task feels busiest. - [How to document a Zendesk ticket resolution workflow](https://ledgerium.ai/workflow-library/zendesk-ticket-resolution-workflow): Document your Zendesk ticket resolution workflow by recording it once. Capture the real triage, investigation, and response steps in an SOP and process map. To document a Zendesk ticket resolution workflow, record an agent resolving a real ticket from arrival to close, then generate a step-by-step SOP and a process map from it. Support work varies a lot between agents, which is why a written-from-memory guide rarely matches how tickets are actually handled. Ledgerium records the real resolution in the browser, including the lookups in other tools, and generates the SOP, the process map, and a report that shows where resolution time is spent. From Ledgerium recordings: Most ticket time is investigation, not typing the reply. Ledgerium timestamps each step, so the report separates time spent looking things up in other tools from time spent responding, which is where the biggest support gains usually hide. - [How to document an expense reporting workflow](https://ledgerium.ai/workflow-library/expense-reporting-workflow): Document your expense reporting workflow by recording it once. Capture the real submission, approval, and reimbursement steps in an SOP and a process map. To document an expense reporting workflow, record the real process from capturing a receipt to reimbursement, then generate a step-by-step SOP and a process map from it. Expense reporting frustrates people because the rules and approval routing are rarely written down clearly. Ledgerium records the real submission and approval in the browser, captures the policy checks and routing, and generates the SOP, the process map, and a report that shows where reports get rejected and reworked. From Ledgerium recordings: Most expense delay is rejection and resubmission, not the first submission. Ledgerium captures the rework loop, so the report shows how often reports bounce back and why, which a happy-path SOP never reveals. - [How to document a purchase order workflow](https://ledgerium.ai/workflow-library/purchase-order-workflow): Document your purchase order workflow by recording it once. Capture the real requisition, approval, and receiving steps in an SOP and a process map. To document a purchase order workflow, record the real process from requisition to invoice match, then generate a step-by-step SOP and a process map from it. Purchasing spans requesters, approvers, and receiving, so a written-from-memory guide usually misses the approval thresholds and the three-way match. Ledgerium records the real PO process in the browser, captures the routing and checks, and generates the SOP, the process map, and a report that shows where orders wait for approval. From Ledgerium recordings: In purchasing, the three-way match between PO, receipt, and invoice is where errors surface. Ledgerium records the match step by step, so the report shows how often the match fails and at which document, not just that the order was placed. - [How to document an employee onboarding workflow](https://ledgerium.ai/workflow-library/employee-onboarding-workflow): Document your employee onboarding workflow by recording it once. Capture the real HR, IT, and manager setup steps in an SOP and a process map. To document an employee onboarding workflow, record the real setup of a new hire from offer acceptance to a productive first week, then generate a step-by-step SOP and a process map from it. Onboarding spans HR, IT, and the hiring manager, so a written-from-memory checklist usually misses a system or a handoff. Ledgerium records the real onboarding in the browser, captures the account provisioning, access grants, and equipment steps, and generates the SOP, the process map, and a report that shows where new hires wait before they can work. From Ledgerium recordings: Most onboarding delay sits in cross-team handoffs, where HR finishes a step and IT has not yet started. Ledgerium timestamps each step, so the report shows how long a new hire waits between HR provisioning and IT access rather than only how long each task takes to perform. - [How to document a vendor setup workflow](https://ledgerium.ai/workflow-library/vendor-setup-workflow): Document your vendor setup workflow by recording it once. Capture the real request, validation, approval, and activation steps in an SOP and a process map. To document a vendor setup workflow, record the real process of adding a new vendor from request to active master record, then generate a step-by-step SOP and a process map from it. Vendor setup carries control risk, the tax and banking checks decide whether payments are safe, yet those checks are rarely written down clearly. Ledgerium records the real setup in the browser, captures the validation and approval routing, and generates the SOP, the process map, and a report that shows where requests wait and where they get returned. From Ledgerium recordings: In vendor setup, the control points are the tax and banking validations, and that is where requests get returned. Ledgerium records each validation step, so the report shows how often setups bounce back at banking validation rather than only that a vendor was eventually added. - [How to document a Salesforce lead qualification workflow](https://ledgerium.ai/workflow-library/salesforce-lead-qualification-workflow): Document your Salesforce lead qualification workflow by recording it once. Capture the real enrich, qualify, and routing steps in an SOP and process map. To document a Salesforce lead qualification workflow, record a rep qualifying and routing a real lead from capture to assignment, then generate a step-by-step SOP and a process map from it. Qualification criteria and routing rules often live in one rep’s head, so leads get worked inconsistently and good ones slip. Ledgerium records the real qualification in the browser, captures the enrichment lookups and the criteria checks, and generates the SOP, the process map, and a report that shows where leads wait and where routing varies. From Ledgerium recordings: Lead leakage usually happens between capture and assignment, where a lead sits unworked. Ledgerium timestamps each step, so the report shows how long a lead waits before a rep qualifies it rather than only how long the qualification call takes. - [How to document a contract review workflow](https://ledgerium.ai/workflow-library/contract-review-workflow): Document your contract review workflow by recording it once. Capture the real intake, legal review, redline, and approval steps in an SOP and process map. To document a contract review workflow, record the real review of a contract from intake to signature, then generate a step-by-step SOP and a process map from it. Contract review hides delay in legal queues and approval routing, and the rules for who reviews what are rarely clear. Ledgerium records the real review in the browser, captures the redline rounds and the approval routing, and generates the SOP, the process map, and a report that shows where contracts wait between review and approval. From Ledgerium recordings: Contract delay is mostly the wait in the legal queue and the redline rounds, not the reading itself. Ledgerium timestamps each step, so the report shows how many redline rounds a typical contract takes and how long it waits in review rather than only that it was signed. - [How to document a travel request workflow](https://ledgerium.ai/workflow-library/travel-request-workflow): Document your travel request workflow by recording it once. Capture the real request, policy check, approval, and booking steps in an SOP and process map. To document a travel request workflow, record the real process from request to booked trip, then generate a step-by-step SOP and a process map from it. Travel requests stall on policy checks and approval routing that employees cannot see, so they guess and get returned. Ledgerium records the real request and approval in the browser, captures the policy checks and routing, and generates the SOP, the process map, and a report that shows where requests wait and where they get sent back. From Ledgerium recordings: Travel delay is mostly the wait for approval before booking, where prices change while a request sits. Ledgerium timestamps each step, so the report shows how long a request waits between submission and approval rather than only how long the booking takes. - [How to document a password reset workflow](https://ledgerium.ai/workflow-library/password-reset-workflow): Document your IT password reset workflow by recording it once. Capture the real verification, reset, and confirmation steps in an SOP and process map. To document a password reset workflow, record a helpdesk agent resetting a real user password from identity check to confirmed access, then generate a step-by-step SOP and a process map from it. The identity verification step is a security control, yet it is often done from memory and varies by agent. Ledgerium records the real reset in the browser, captures the verification and the reset steps, and generates the SOP, the process map, and a report that shows where the identity check is skipped or inconsistent. From Ledgerium recordings: The control that matters in a password reset is identity verification, and it is the step most likely to be rushed. Ledgerium records each step, so the report shows whether the verification was performed and how consistently rather than only that the password was reset. - [How to document a refund processing workflow](https://ledgerium.ai/workflow-library/refund-processing-workflow): Document your refund processing workflow by recording it once. Capture the real request, verify, approve, and issue steps in an SOP and process map. To document a refund processing workflow, record an agent handling a real refund from request to issued payment, then generate a step-by-step SOP and a process map from it. Refunds carry money out the door, so the verification and approval checks matter, yet they are rarely written down clearly. Ledgerium records the real refund in the browser, captures the eligibility check and approval routing, and generates the SOP, the process map, and a report that shows where refunds wait and get returned. From Ledgerium recordings: Most refund delay sits in the approval wait and the eligibility check, not in issuing the payment. Ledgerium timestamps each step, so the report shows how long a refund waits for approval rather than only how long the payment posting takes. - [How to document a journal entry workflow](https://ledgerium.ai/workflow-library/journal-entry-workflow): Document your journal entry workflow by recording it once. Capture the real prepare, support, review, and post steps in an SOP and process map. To document a journal entry workflow, record an accountant preparing and posting a real entry from first draft to posted ledger, then generate a step-by-step SOP and a process map from it. The control that matters is the support behind each entry, yet the backup and review rules are rarely written down. Ledgerium records the real entry in the browser, captures the supporting documents and the review routing, and generates the SOP, the process map, and a report that shows where entries wait for review. From Ledgerium recordings: In journal entries, the control is the link between the entry and its supporting evidence, and that is where review stalls. Ledgerium records each step, so the report shows whether support was attached before review rather than only that the entry was posted. - [How to document an access provisioning workflow](https://ledgerium.ai/workflow-library/access-provisioning-workflow): Document your access provisioning workflow by recording it once. Capture the real request, approve, and provision steps in an SOP and process map. To document an access provisioning workflow, record an IT agent granting a real user access from request to confirmed login, then generate a step-by-step SOP and a process map from it. Who approves which access is a control, yet the approval rules and the access matrix are rarely documented where the work happens. Ledgerium records the real provisioning in the browser, captures the approval routing and the grants, and generates the SOP, the process map, and a report that shows where requests wait and where access is over-granted. From Ledgerium recordings: In access provisioning, the control is the approval before the grant, and it is the step most likely to be rushed when a user is blocked. Ledgerium records each step, so the report shows whether the approval happened before access was granted rather than only that the user can now log in. - [How to document a sales order processing workflow](https://ledgerium.ai/workflow-library/sales-order-processing-workflow): Document your sales order processing workflow by recording it once. Capture the real entry, validation, and fulfillment steps in an SOP and map. To document a sales order processing workflow, record an order being processed from entry to fulfillment handoff, then generate a step-by-step SOP and a process map from it. Order processing spans entry, validation, and a credit check across several systems, so a written-from-memory guide usually misses a check or a handoff. Ledgerium records the real order in the browser, captures the validation and the credit check, and generates the SOP, the process map, and a report that shows where orders wait before they reach fulfillment. From Ledgerium recordings: In order processing, the credit check and the validation are where orders get held, not the order entry itself. Ledgerium timestamps each step, so the report shows how long an order waits at the credit check rather than only how long entry takes. - [How to document an incident management workflow](https://ledgerium.ai/workflow-library/incident-management-workflow): Document your IT incident management workflow by recording it once. Capture the real log, triage, investigate, and resolve steps in an SOP. To document an incident management workflow, record an agent handling a real IT incident from first log to closed ticket, then generate a step-by-step SOP and a process map from it. Incident handling varies a lot between agents, especially the triage and investigation, which is why a written-from-memory runbook rarely matches the real response. Ledgerium records the real incident in the browser, captures the triage decisions and the lookups, and generates the SOP, the process map, and a report that shows where resolution time is spent. From Ledgerium recordings: Most incident time is investigation and the wait for the right team, not the fix itself. Ledgerium timestamps each step, so the report separates investigation time and reassignment wait from the actual resolution, which is where the biggest gains usually hide. - [How to document a returns processing workflow](https://ledgerium.ai/workflow-library/returns-processing-workflow): Document your returns processing workflow by recording it once. Capture the real request, authorize, receive, and refund steps in an SOP. To document a returns processing workflow, record a real product return from request to refund or replacement, then generate a step-by-step SOP and a process map from it. Returns span a request, an authorization, the physical receipt, and a refund or replacement, so a written-from-memory guide usually misses the authorization rules or the inspection step. Ledgerium records the real return in the browser, captures the authorization and the resolution routing, and generates the SOP, the process map, and a report that shows where returns wait. From Ledgerium recordings: In returns, the delay sits in the authorization and the wait for the item to arrive and be inspected, not in issuing the refund. Ledgerium timestamps each step, so the report shows how long a return waits for authorization and receipt rather than only how long the refund takes. - [How to document a procure-to-pay workflow](https://ledgerium.ai/workflow-library/procure-to-pay): Document your procure-to-pay workflow by recording it once. Capture the real requisition, PO, receipt, invoice match, and payment steps in an SOP and a map. To document a procure-to-pay workflow, record the full cycle from a purchase requisition through the vendor payment, then generate a step-by-step SOP and a process map from it. Procure-to-pay crosses procurement and accounts payable, so a written-from-memory guide usually loses the seam where the purchase order and the invoice reconcile. Ledgerium records the real cycle in the browser, captures the requisition, the PO, the receipt, the invoice match, and the payment run, and generates the SOP, the process map, and a report that shows where the cycle stalls between the two teams. From Ledgerium recordings: In procure-to-pay, the cycle time hides in the handoff from procurement to accounts payable, where a PO waits for an invoice that waits for a receipt. Ledgerium timestamps each step across both teams, so the report shows how long the cycle sits at that seam rather than only how long the payment run takes. - [How to document an order-to-cash workflow](https://ledgerium.ai/workflow-library/order-to-cash): Document your order-to-cash workflow by recording it once. Capture the real order, fulfillment, invoicing, collections, and cash-application steps in an SOP. To document an order-to-cash workflow, record the full revenue cycle from a customer order through invoicing to the cash applied against it, then generate a step-by-step SOP and a process map from it. Order-to-cash ends in collections and cash application, the steps that move days sales outstanding yet rarely get written down. Ledgerium records the real cycle in the browser, captures the order, the fulfillment, the invoice, the collections follow-ups, and the cash application, and generates the SOP, the process map, and a report that shows where cash gets held up. From Ledgerium recordings: In order-to-cash, most of the delay is on the back half — the collections follow-ups after the invoice goes out, not the order or the shipment. Ledgerium timestamps each step, so the report shows how long an invoice waits in collections before cash is applied rather than only how fast the order was fulfilled. - [How to document an employee offboarding workflow](https://ledgerium.ai/workflow-library/employee-offboarding): Document your employee offboarding workflow by recording it once. Capture the real deprovisioning, access revocation, and asset-return steps in an SOP and map. To document an employee offboarding workflow, record the real exit of a departing employee from the termination notice to fully revoked access and returned assets, then generate a step-by-step SOP and a process map from it. Offboarding is the reverse of onboarding: the risk is access left active, not access granted late. Ledgerium records the real offboarding in the browser, captures the deprovisioning, the access revocation, and the asset return, and generates the SOP, the process map, and a report that shows where accounts stay open after someone leaves. From Ledgerium recordings: In offboarding, the risk is not how long a step takes but whether the access revocation actually happened before the last day. Ledgerium records each revocation step, so the report shows which accounts were closed and when rather than only that the employee was marked as a leaver. - [How to document a document approval workflow](https://ledgerium.ai/workflow-library/document-approval-workflow): Document your document approval workflow by recording it once. Capture the real draft, review, approval routing, e-sign, and filing steps in an SOP. To document a document approval workflow, record a real document moving from draft through internal review, approval routing, e-signature, and filing, then generate a step-by-step SOP and a process map from the recording. A general approval flow touches several people and tools, so a policy written from memory rarely matches who actually signs and in what order. Ledgerium records the real approval in the browser, captures the review rounds and the routing rules, and generates the SOP, the process map, and a report that shows where documents wait between approvers. From Ledgerium recordings: In a document approval workflow, the delay lives in the wait between approvers and the repeated review rounds, not in reading the document. Ledgerium timestamps each step, so the report shows how long a document sits with each approver and how many review rounds it takes rather than only that it was eventually signed. - [How to document an insurance claims processing workflow](https://ledgerium.ai/workflow-library/insurance-claims-processing-workflow): Document your insurance claims processing workflow by recording it once. Capture the real FNOL, coverage, document collection, adjudication, and settlement. To document an insurance claims processing workflow, record a real claim from the first notice of loss through coverage verification, document collection, adjudication, and settlement, then generate a step-by-step SOP and a process map from the recording. Claims cross the policy system, the claims system, and a stack of supporting documents, so a guide written from memory usually misses a coverage check. Ledgerium records the real claim in the browser, captures the verification and adjudication steps, and generates the SOP, the process map, and a report that shows where claims wait for documents or a decision. From Ledgerium recordings: In insurance claims, the delay sits in coverage verification and the wait for supporting documents, not in issuing the settlement. Ledgerium timestamps each step, so the report shows how long a claim waits for a missing document or a coverage decision rather than only how long the payout takes to process. - [How to document an expense approval workflow](https://ledgerium.ai/workflow-library/expense-approval-workflow): Document your expense approval workflow by recording it once. Capture the real policy check, manager approval, finance approval, and reimbursement steps. To document an expense approval workflow, record a submitted expense moving through the policy check, manager approval, finance approval, and reimbursement, then generate a step-by-step SOP and a process map from the recording. The approval side is where spend control lives: who signs at each amount, which policy checks gate the sign-off, and what happens when an approver is out. Ledgerium records the real approval in the browser, captures the policy checks and the routing between approvers, and generates the SOP, the process map, and a report that shows where approvals wait and who holds them up. From Ledgerium recordings: In expense approval, most delay is an expense sitting with one approver, not the reimbursement run. Ledgerium timestamps each sign-off, so the report shows which approver and which threshold hold expenses longest rather than only that the expense was eventually paid. ## SOP templates Index: https://ledgerium.ai/sop-templates - [Invoice approval SOP template](https://ledgerium.ai/sop-templates/invoice-approval-sop-template): A free, editable invoice approval SOP template with purpose, roles, and steps. Or record a real approval once and let Ledgerium generate the SOP for you. An invoice approval SOP template gives you a ready structure to document how invoices get approved: purpose, scope, roles, the step-by-step procedure, exceptions, and records. Use the outline below as a starting point and adapt it to your thresholds and systems. The faster route is to record a real approval once and let Ledgerium generate the SOP from the actual steps, so it matches how your team really approves invoices instead of a generic template you have to fill in by hand. From Ledgerium recordings: A generic template documents the happy path. A Ledgerium-generated invoice approval SOP includes the real exception and rework loop captured from the recording, which is where most approval delay actually lives. - [Customer onboarding SOP template](https://ledgerium.ai/sop-templates/customer-onboarding-sop-template): A free, editable customer onboarding SOP template with roles, steps, and handoffs. Or record a real onboarding and let Ledgerium generate the SOP for you. A customer onboarding SOP template gives you a ready structure to document how a new customer goes from signed deal to active: purpose, scope, roles, the step-by-step procedure, exceptions, and records. Onboarding spans several teams and systems, so a generic template only gets you part way. The faster, more accurate route is to record a real onboarding once and let Ledgerium generate the SOP from the actual handoffs and steps, so it reflects how your team really activates customers. From Ledgerium recordings: A generated onboarding SOP captures the cross-team handoffs where new customers actually wait, which a template written from one team’s view usually leaves out. - [Expense report SOP template](https://ledgerium.ai/sop-templates/expense-report-sop-template): A free, editable expense report SOP template with roles, steps, and policy checks. Or record a real submission and let Ledgerium generate the SOP for you. An expense report SOP template gives you a ready structure to document how expenses are submitted, approved, and reimbursed: purpose, scope, roles, the step-by-step procedure, exceptions, and records. The hardest part to document is the policy checks and approval routing, which a blank template leaves vague. Recording a real submission and approval lets Ledgerium generate the SOP from the actual steps, so the policy rules and routing are captured instead of guessed at. From Ledgerium recordings: A generated expense SOP captures the rejection and resubmission loop from a real recording, which is where most reimbursement delay lives and which a happy-path template omits. - [Purchase order SOP template](https://ledgerium.ai/sop-templates/purchase-order-sop-template): A free, editable purchase order SOP template with roles, approval routing, and the three-way match. Or record a real PO and let Ledgerium generate the SOP. A purchase order SOP template gives you a ready structure to document how a PO moves from requisition to invoice match: purpose, scope, roles, the step-by-step procedure, exceptions, and records. The steps most templates miss are the approval thresholds and the three-way match. Recording a real PO process lets Ledgerium generate the SOP from the actual routing and checks, so those critical steps are captured instead of left vague. From Ledgerium recordings: A generated PO SOP records the three-way match step by step, so it shows where the match fails and at which document, not just that an order was placed. - [Month-end close SOP template](https://ledgerium.ai/sop-templates/month-end-close-sop-template): A free, editable month-end close SOP template with the ordered close checklist and roles. Or record a real close and let Ledgerium generate the SOP for you. A month-end close SOP template gives you a ready structure to document the close: purpose, scope, roles, the ordered close checklist, exceptions, and records. The close is a long set of dependent tasks, so the order and the sign-offs matter as much as the steps. Recording a real close lets Ledgerium generate the SOP from the actual sequence, so the dependencies and reviews are captured rather than reconstructed from memory. From Ledgerium recordings: A generated close SOP records the serial dependencies in order, so it shows which task blocks the next, which is the information a flat checklist template never captures. - [Employee onboarding SOP template](https://ledgerium.ai/sop-templates/employee-onboarding-sop-template): A free, editable employee onboarding SOP template with roles, steps, and IT setup. Or record a real onboarding and let Ledgerium generate the SOP for you. An employee onboarding SOP template gives you a ready structure to document how a new hire is set up and ramped: purpose, scope, roles, the step-by-step procedure, exceptions, and records. Onboarding spans HR, IT, and the hiring manager, so the handoffs are easy to miss. Recording a real onboarding lets Ledgerium generate the SOP from the actual system setup and steps, so account provisioning and access requests are captured rather than assumed. From Ledgerium recordings: A generated onboarding SOP captures the IT account and access setup steps across systems, which is the part HR-written templates most often leave incomplete. - [Vendor setup SOP template](https://ledgerium.ai/sop-templates/vendor-setup-sop-template): A free, editable vendor setup SOP template with roles, steps, and approvals. Or record a real setup and let Ledgerium generate the SOP for you. A vendor setup SOP template gives you a ready structure to document how a new supplier is added: purpose, scope, roles, the step-by-step procedure, exceptions, and records. The steps most templates miss are the verification and banking-detail checks that protect against fraud. The faster, more accurate route is to record a real vendor setup once and let Ledgerium generate the SOP from the actual steps, so the verification and approval routing are documented from real work, not from memory. From Ledgerium recordings: A generated vendor setup SOP captures the verification and banking-detail checks step by step, so it shows exactly where a control is applied, which a happy-path template usually skips entirely. - [Contract review SOP template](https://ledgerium.ai/sop-templates/contract-review-sop-template): A free, editable contract review SOP template with roles, steps, and approval routing. Or record a real review and let Ledgerium generate the SOP. A contract review SOP template gives you a ready structure to document how a contract moves from intake to signature: purpose, scope, roles, the step-by-step procedure, exceptions, and records. The hardest part to document is the legal and finance review routing and the redline loop, which a blank template leaves vague. Recording a real review lets Ledgerium generate the SOP from the actual routing and sign-offs, so the approval path is documented from real work, not from memory. From Ledgerium recordings: A generated contract review SOP records the redline and re-review loop from a real recording, which is where most signature delay lives and which a single-pass template never captures. - [Support ticket resolution SOP template](https://ledgerium.ai/sop-templates/ticket-resolution-sop-template): A free, editable support ticket resolution SOP template with roles and steps. Or record a real ticket and let Ledgerium generate the SOP for you. A support ticket resolution SOP template gives you a ready structure to document how an agent handles a ticket from open to closed: purpose, scope, roles, the step-by-step procedure, exceptions, and records. The steps most templates miss are the triage rules and the escalation path. Recording a real ticket lets Ledgerium generate the SOP from the actual steps in your help desk, so the triage and escalation are documented from real work, not from memory. From Ledgerium recordings: A generated ticket SOP captures the escalation and reassignment steps from a real recording, which is where most resolution delay lives and which a first-contact template usually omits. - [Travel request SOP template](https://ledgerium.ai/sop-templates/travel-request-sop-template): A free, editable travel request SOP template with roles, steps, and approvals. Or record a real request and let Ledgerium generate the SOP. A travel request SOP template gives you a ready structure to document how an employee requests and gets approval for travel: purpose, scope, roles, the step-by-step procedure, exceptions, and records. The steps most templates leave vague are the policy checks and the approval routing by cost. Recording a real request lets Ledgerium generate the SOP from the actual steps, so the policy limits and routing are documented from real work, not from memory. From Ledgerium recordings: A generated travel request SOP captures the policy check and the routing by cost from a real recording, so it shows which approver each request reaches, not just that travel was approved. - [Lead qualification SOP template](https://ledgerium.ai/sop-templates/lead-qualification-sop-template): A free, editable lead qualification SOP template with roles, steps, and scoring. Or record a real qualification and let Ledgerium make the SOP. A lead qualification SOP template gives you a ready structure to document how a rep decides whether a lead is worth pursuing: purpose, scope, roles, the step-by-step procedure, exceptions, and records. The steps most templates leave vague are the scoring criteria and the handoff to sales. Recording a real qualification lets Ledgerium generate the SOP from the actual steps in your CRM, so the scoring and routing are documented from real work, not from memory. From Ledgerium recordings: A generated qualification SOP captures the scoring criteria and the handoff to sales from a real recording, so it shows how a lead is actually judged and routed, not just that it was qualified. - [IT password reset SOP template](https://ledgerium.ai/sop-templates/password-reset-sop-template): A free, editable IT password reset SOP template with roles, steps, and verification. Or record a real reset and let Ledgerium make the SOP. An IT password reset SOP template gives you a ready structure to document how a help desk handles a reset request: purpose, scope, roles, the step-by-step procedure, exceptions, and records. The step most templates leave vague is identity verification, which is the control that stops a reset becoming a security hole. Recording a real reset lets Ledgerium generate the SOP from the actual steps, so the verification and logging are documented from real work, not from memory. From Ledgerium recordings: A generated password reset SOP captures the identity verification step exactly as the agent performs it, so it shows where the control is applied, which a quick how-to template usually glosses over. - [Refund processing SOP template](https://ledgerium.ai/sop-templates/refund-processing): A free, editable refund processing SOP template with roles, steps, and approval checks. Or record a real refund and let Ledgerium generate the SOP for you. A refund processing SOP template gives you a ready structure to document how a refund moves from customer request to money returned: purpose, scope, roles, the step-by-step procedure, exceptions, and records. The steps most templates leave vague are the eligibility check against policy and the approval routing by amount. Recording a real refund lets Ledgerium generate the SOP from the actual steps in your order and payment systems, so the eligibility rules and approval thresholds are documented from real work, not from memory. From Ledgerium recordings: A generated refund SOP captures the eligibility check and the approval routing by amount from a real recording, and times each step, so it shows where refunds wait — usually in approval — not just that money was returned. - [Journal entry SOP template](https://ledgerium.ai/sop-templates/journal-entry): A free, editable journal entry SOP template with roles, steps, and approvals for the general ledger. Or record a real entry and let Ledgerium build the SOP. A journal entry SOP template gives you a ready structure to document how an accountant posts an entry to the general ledger: purpose, scope, roles, the step-by-step procedure, exceptions, and records. The steps most templates leave vague are the supporting documentation, the account coding, and the reviewer sign-off before posting. Recording a real entry lets Ledgerium generate the SOP from the actual steps in your accounting system, so the coding rules and the review are documented from real work, not from memory. From Ledgerium recordings: A generated journal entry SOP records the preparer-and-reviewer separation and times the review step, so it shows how long entries wait for sign-off before posting, which a happy-path template never captures. - [System access request SOP template](https://ledgerium.ai/sop-templates/system-access-request): A free, editable system access request SOP template with roles, steps, and approvals. Or record a real access request and let Ledgerium generate the SOP. A system access request SOP template gives you a ready structure to document how an employee gets access to a system: purpose, scope, roles, the step-by-step procedure, exceptions, and records. The steps most templates leave vague are the approval from the system owner and the least-privilege check that grants only the access the role needs. Recording a real access request lets Ledgerium generate the SOP from the actual steps in your ticketing and identity systems, so the approval and provisioning are documented from real work, not from memory. From Ledgerium recordings: A generated access request SOP captures the system-owner approval and the least-privilege grant step by step and times the provisioning wait, so it shows where access requests stall, which a happy-path template never captures. - [Sales order processing SOP template](https://ledgerium.ai/sop-templates/sales-order-processing): A free, editable sales order processing SOP template with roles, steps, and order checks. Or record a real order and let Ledgerium generate the SOP. A sales order processing SOP template gives you a ready structure to document how an order moves from received to shipped: purpose, scope, roles, the step-by-step procedure, exceptions, and records. The steps most templates leave vague are the credit check, the inventory allocation, and the pricing confirmation before fulfillment. Recording a real order lets Ledgerium generate the SOP from the actual steps in your order system, so the credit and allocation checks are documented from real work, not from memory. From Ledgerium recordings: A generated sales order SOP captures the credit check and inventory allocation step by step and times each stage, so it shows where orders wait between entry and shipment, which a happy-path template never captures. - [Incident management SOP template](https://ledgerium.ai/sop-templates/incident-management): A free, editable incident management SOP template with roles, steps, and escalation. Or record a real incident response and let Ledgerium generate the SOP. An incident management SOP template gives you a ready structure to document how an operations team responds to an incident: purpose, scope, roles, the step-by-step procedure, exceptions, and records. The steps most templates leave vague are the severity classification, the on-call escalation, and the post-incident review. Recording a real incident response lets Ledgerium generate the SOP from the actual steps in your incident tooling, so the severity rules and escalation path are documented from real work, not from memory. From Ledgerium recordings: A generated incident management SOP captures the severity classification and on-call escalation step by step and times detection to resolution, so it shows where response time is lost, which a happy-path template never captures. ## Document workflows in specific software Index: https://ledgerium.ai/software - [How to document a workflow in Salesforce](https://ledgerium.ai/software/salesforce): Document a Salesforce workflow by recording it once. Capture the real clicks and page flows, and generate an SOP and process map from the actual work. To document a workflow in Salesforce, record someone performing the real process in Salesforce, lead qualification, opportunity handoff, or case resolution, then turn that recording into a step-by-step SOP and a process map. Salesforce screens vary by org configuration, so a written-from-memory guide rarely matches what users actually see. Ledgerium records the real interaction in the browser and generates the SOP, process map, and a workflow intelligence report, so the documentation reflects your org, not a generic example. From Ledgerium recordings: Salesforce orgs are heavily customized, so the same standard process looks different across companies. Ledgerium documents your actual org by recording real clicks and page flows, rather than describing a generic Salesforce screen that may not exist in your instance. - [How to document a workflow in NetSuite](https://ledgerium.ai/software/netsuite): Document a NetSuite workflow by recording it once. Capture the real approval routing, role-based screens, and steps, and generate an SOP and process map. To document a workflow in NetSuite, record someone performing the real process, a purchase order approval, a vendor setup, or month-end steps, then generate a step-by-step SOP and a process map from it. NetSuite screens depend on role and customization, so written-from-memory guides drift from what users actually see. Ledgerium records the real interaction in the browser and produces the SOP, process map, and a workflow intelligence report, so the documentation matches your account and the role performing the work. From Ledgerium recordings: NetSuite screens and available actions change by role and permission. Ledgerium records the process as the actual role performs it, so the SOP reflects what that user can see and do rather than an administrator’s view of the system. - [How to document a workflow in ServiceNow](https://ledgerium.ai/software/servicenow): Document a ServiceNow workflow by recording it once. Capture the real incident, request, and change steps, and generate an SOP and process map from real work. To document a workflow in ServiceNow, record someone performing the real process, an incident resolution, a service request, or a change, then generate a step-by-step SOP and a process map from it. ServiceNow is heavily configured per organization, so a generic guide rarely matches what fulfillers actually see. Ledgerium records the real interaction in the browser and produces the SOP, process map, and a workflow intelligence report, so the documentation reflects your instance and the role doing the work. From Ledgerium recordings: ServiceNow workflows differ by fulfiller group and configuration. Ledgerium records the process as the actual fulfiller performs it, so the SOP reflects what that group sees and does rather than a platform-admin view of the workflow. - [How to document a workflow in Jira](https://ledgerium.ai/software/jira): Document a Jira workflow by recording it once. Capture the real triage, transition, and resolution steps, and generate an SOP and process map from real work. To document a workflow in Jira, record someone performing the real process, issue triage, a board transition, or a bug resolution, then generate a step-by-step SOP and a process map from it. Jira workflows and screens are customized per project, so a generic guide rarely matches a given team’s board. Ledgerium records the real interaction in the browser and produces the SOP, process map, and a workflow intelligence report, so the documentation matches your project and how the team actually moves work. From Ledgerium recordings: Jira workflows are configured per project, so the same status name can mean different things across teams. Ledgerium records the real transitions a team performs, so the SOP reflects how that project actually moves work rather than a default scheme. - [How to document a workflow in Zendesk](https://ledgerium.ai/software/zendesk): Document a Zendesk workflow by recording it once. Capture the real triage, investigation, and response steps in an SOP and a process map. To document a workflow in Zendesk, record an agent performing the real process, ticket triage, resolution, or escalation, then generate a step-by-step SOP and a process map from it. Zendesk is configured per team with custom fields, macros, and routing, so a generic guide rarely matches how agents actually work. Ledgerium records the real interaction in the browser, including lookups in other tools, and produces the SOP, process map, and a workflow intelligence report tied to how your team handles tickets. From Ledgerium recordings: Macros capture canned replies, not how agents diagnose issues. Ledgerium records the real investigation steps an agent takes across tools, so the SOP shows the diagnosis work that Zendesk’s own configuration never documents. - [How to document a workflow in SAP](https://ledgerium.ai/software/sap): Document an SAP workflow by recording it once. Capture the real role screens, transaction steps, and postings, and generate an SOP and process map. To document a workflow in SAP, record someone performing the real process, a purchase requisition, a goods receipt, or an invoice verification, then generate a step-by-step SOP and a process map from it. SAP screens depend on role, transaction code, and configuration, so a written-from-memory guide rarely matches what the user actually runs. Ledgerium records the real interaction in the browser and produces the SOP, process map, and a workflow intelligence report, so the documentation reflects the transactions and fields that role actually touches. From Ledgerium recordings: SAP shows different transactions and fields depending on role, transaction code, and configuration. Ledgerium records the process as the actual role performs it, so the SOP reflects the screens and entries that user works through rather than a configuration-team view of the system. - [How to document a workflow in QuickBooks](https://ledgerium.ai/software/quickbooks): Document a QuickBooks workflow by recording it once. Capture the real bill approval, invoicing, and reconciliation steps in an SOP and a process map. To document a workflow in QuickBooks, record someone performing the real process, a bill approval, an invoice, or a bank reconciliation, then generate a step-by-step SOP and a process map from it. Small teams often hold these steps in one person’s head, so the process is undocumented until that person is out. Ledgerium records the real interaction in the browser, including the lookups and approvals outside QuickBooks, and produces the SOP, process map, and a workflow intelligence report tied to how your books are actually kept. From Ledgerium recordings: In small teams, bookkeeping steps live in one person’s memory and the approval and review steps happen in email or chat. Ledgerium records the real run across QuickBooks and those tools, so the SOP shows the full month-end and approval work that QuickBooks alone never documents. - [How to document a workflow in HubSpot](https://ledgerium.ai/software/hubspot): Document a HubSpot workflow by recording it once. Capture the real lead handoff, deal stage, and pipeline steps, and generate an SOP and process map. To document a workflow in HubSpot, record someone performing the real process, a lead handoff, a deal stage change, or a ticket move, then generate a step-by-step SOP and a process map from it. HubSpot pipelines and properties are configured per team, so a generic guide rarely matches how reps actually move records. Ledgerium records the real interaction in the browser and produces the SOP, process map, and a workflow intelligence report, so the documentation matches your portal and the way the team actually works deals and tickets. From Ledgerium recordings: HubSpot pipelines, stages, and properties are configured per team, so what counts as a stage change differs across portals. Ledgerium records the real steps a rep takes, so the SOP reflects how that team actually moves deals and tickets rather than a default pipeline. - [How to document a workflow in Workday](https://ledgerium.ai/software/workday): Document a Workday workflow by recording it once. Capture the real onboarding, time-off, and approval steps, and generate an SOP and process map. To document a workflow in Workday, record someone performing the real process, a hire and onboarding, a time-off request, or an expense approval, then generate a step-by-step SOP and a process map from it. Workday business processes and security groups vary by tenant, so a generic guide rarely matches what an employee or approver actually sees. Ledgerium records the real interaction in the browser and produces the SOP, process map, and a workflow intelligence report, so the documentation reflects your tenant and the role doing the work. From Ledgerium recordings: Workday business processes and what each security group can do vary by tenant, so an employee, a manager, and an HR partner each see a different slice of the same process. Ledgerium records the process as the actual role performs it, so the SOP reflects what that role sees and does rather than an HR-admin view. - [How to document a workflow in SharePoint](https://ledgerium.ai/software/sharepoint): Document a SharePoint workflow by recording it once. Capture the real approval, access request, and publishing steps in an SOP and a process map. To document a workflow in SharePoint, record someone performing the real process, a document approval, an access request, or a page publish, then generate a step-by-step SOP and a process map from it. SharePoint sites are configured per team with their own libraries, permissions, and approval flows, so a generic guide rarely matches a given site. Ledgerium records the real interaction in the browser and produces the SOP, process map, and a workflow intelligence report, so the documentation reflects your site and how the team actually handles content. From Ledgerium recordings: SharePoint sites differ by library structure, permission level, and approval flow, so the same task looks different across teams. Ledgerium records the real steps a contributor takes, so the SOP reflects how that site actually handles approval and publishing rather than a generic library example. - [How to document a workflow in Microsoft Dynamics 365](https://ledgerium.ai/software/microsoft-dynamics): Document a Microsoft Dynamics 365 workflow by recording it once. Capture the real ERP and CRM steps across finance and sales in an SOP and process map. To document a workflow in Microsoft Dynamics 365, record someone performing the real process — a sales order, a vendor payment, or a customer case — then generate a step-by-step SOP and a process map from it. Dynamics 365 spans several apps and is customized per deployment, so a generic guide rarely matches the forms a team uses. Ledgerium records the real interaction in the browser, including the steps that cross the ERP and CRM apps, and produces the SOP, process map, and a workflow intelligence report tied to your deployment. From Ledgerium recordings: Dynamics 365 is not one app but a suite — Finance, Sales, Customer Service, and Business Central — and a single business process often hops between them. Ledgerium records the real path across those apps, so the SOP shows the cross-app sequence a guide scoped to one module would never capture. - [How to document a workflow in Coupa](https://ledgerium.ai/software/coupa): Document a Coupa workflow by recording it once. Capture the real requisition, approval, and invoice-matching steps, and generate an SOP and process map. To document a workflow in Coupa, record someone performing the real process — a requisition, a purchase order, or an invoice reconciliation — then generate a step-by-step SOP and a process map from it. Coupa routes each request through approval chains set by amount and cost center, and much of the real work happens around it in email. Ledgerium records the full path in the browser, including the approvals and supplier sourcing outside Coupa, and produces the SOP, process map, and a workflow intelligence report tied to how your account runs procurement. From Ledgerium recordings: A Coupa requisition routes through approval chains set by amount, commodity, and cost center, and much of the real work — sourcing a supplier, chasing an approver, coding to the right account — happens in email and other tabs. Ledgerium records that full path, so the SOP shows the approval and sourcing steps Coupa’s own configuration never writes down. - [How to document a DocuSign document workflow](https://ledgerium.ai/software/docusign): Document a DocuSign document workflow by recording it once. Capture the real preparation, sending, and post-signature steps in an SOP and process map. To document a document workflow in DocuSign, record someone performing the real process — assembling the document, routing it for internal review, sending the envelope, and filing it once it is signed — then generate a step-by-step SOP and a process map from it. DocuSign records the signing event and its audit trail, but not the human steps that prepare and follow the envelope. Ledgerium records that surrounding work in the browser and produces the SOP, process map, and a workflow intelligence report, so the document workflow around DocuSign is measured, not just the signature. From Ledgerium recordings: DocuSign’s audit trail proves who signed an envelope and when, but it says nothing about the human document workflow around it — how the document was assembled, who reviewed it internally, and what happened once it came back signed. Ledgerium records those surrounding steps, so the SOP measures the full document workflow, not only the signing event DocuSign already logs. - [How to document a Box document workflow](https://ledgerium.ai/software/box): Document a Box document workflow by recording it once. Capture the real folder review, permission, and approval hand-off steps in an SOP and process map. To document a workflow in Box, record someone performing the real process — uploading a file to the right folder, requesting review, routing it through a Box approval, and updating permissions once it is final — then generate a step-by-step SOP and a process map. Box stores the content and its version history, but the routing around each file lives in folder conventions and people’s heads. Ledgerium records that surrounding work in the browser and produces the SOP, process map, and a workflow intelligence report, so the workflow around Box is measured, not just where the file landed. From Ledgerium recordings: Box records where a file lives and how its versions changed, but it does not capture the folder conventions, permission choices, and review hand-offs a team performs around each document. Ledgerium records those surrounding steps, so the SOP shows the real content workflow — which folder, who reviews, what permission to grant — that Box’s version history never spells out. - [How to document a BILL approval workflow](https://ledgerium.ai/software/bill-com): Document a BILL (Bill.com) approval workflow by recording it once. Capture the real bill capture, approval routing, and accounting-sync steps in an SOP. To document an approval workflow in BILL (Bill.com), record someone performing the real process — a bill landing in the inbox, coding it to the general ledger, routing it through the approval chain, and syncing it to the accounting system — then generate a step-by-step SOP and a process map. BILL automates bill capture and routing, but the coding judgment and approver chasing live in email and the AP clerk’s memory. Ledgerium records that real path in the browser and produces the SOP, process map, and a workflow intelligence report tied to how your team pays bills. From Ledgerium recordings: BILL routes each bill through an approval chain, but the real AP work — reading the invoice, coding it to the right general-ledger account and cost center, and chasing the approver who is out — happens around the routing, in email and other tabs. Ledgerium records that full path, so the SOP shows the coding and chasing steps BILL’s own routing never writes down. - [How to document a Concur expense approval workflow](https://ledgerium.ai/software/sap-concur): Document a Concur expense approval workflow by recording it once. Capture the real receipt, itemization, policy-check, and approval steps in an SOP. To document an expense approval workflow in SAP Concur, record someone performing the real process — matching a receipt to a corporate-card charge, itemizing it, checking it against policy, and routing the report for approval — then generate a step-by-step SOP and a process map. Concur enforces policy and routes the report, but the judgment behind a flag and the approver back-and-forth live in email and the submitter’s experience. Ledgerium records that real path in the browser and produces the SOP, process map, and a workflow intelligence report tied to how your team handles expenses. From Ledgerium recordings: Concur flags an expense against policy, but what a submitter does with that flag — re-itemizing, attaching a justification, or splitting a charge across cost centers — is judgment the policy engine never records. Ledgerium records those real steps, so the SOP shows how your team actually resolves a flagged expense rather than only that a rule fired. ## How-to / problem guides Index: https://ledgerium.ai/use-cases/problems - [How to document a business process](https://ledgerium.ai/use-cases/problems/how-to-document-a-business-process): The fastest way to document a business process is to record the real workflow once, turn it into an SOP and process map, and review it with the process owner. The fastest way to document a business process is to record someone performing the real workflow, convert the recording into a step-by-step SOP, create a process map, review it with the process owner, and update it whenever the process changes. Documenting from memory is what makes SOPs incomplete and quickly outdated. Ledgerium AI automates the slow part by turning a browser workflow recording into an SOP, a process map, and a workflow intelligence report, so the documentation reflects how the work actually happens rather than how someone remembers it. From Ledgerium recordings: Recording a process captures the steps between systems, the lookups, copies, and manual checks, that interviews miss. These in-between steps are usually where the undocumented work and rework actually live. - [How to create SOPs automatically](https://ledgerium.ai/use-cases/problems/how-to-create-sops-automatically): Create SOPs automatically by recording a real workflow and generating the procedure from it, so the SOP reflects the actual steps, not memory. To create SOPs automatically, record the real workflow as someone performs it and generate the procedure from the recording instead of writing it by hand. The recording captures the actual clicks, inputs, and decisions, so the SOP reflects the real process rather than a remembered version. Ledgerium AI does this by turning a browser workflow recording into a step-by-step SOP, a process map, and an intelligence report, then regenerating the SOP when the process changes, so it stays accurate without a manual rewrite. From Ledgerium recordings: Because the SOP is generated from a recording, updating it after a process change is a re-record, not a rewrite. The manual equivalent is editing a document by hand every time the process drifts. - [How to identify AI automation opportunities](https://ledgerium.ai/use-cases/problems/how-to-identify-ai-automation-opportunities): Identify AI automation opportunities by recording how a process really runs, then scoring the repetitive, rule-based steps where AI can help. To identify AI automation opportunities, document how a process really runs, then look for steps that are repetitive, rule-based, and high-volume, where AI or automation can help, while keeping humans on judgment and exceptions. You cannot automate what you have not measured, so start by recording the real workflow. Ledgerium AI records the process, then produces a report that scores where time is spent, which steps repeat, and which are the strongest automation candidates, so the decision is based on observed work rather than a guess. From Ledgerium recordings: Ledgerium scores automation candidates from the recorded process by combining how often a step repeats with how much time it takes, so the highest-value candidate is identified from observed data rather than from opinion. - [How to reduce onboarding time](https://ledgerium.ai/use-cases/problems/how-to-reduce-onboarding-time): Reduce onboarding time by giving new hires SOPs generated from real work, so they follow how the job is actually done instead of learning by trial and error. To reduce onboarding time, give new hires documentation generated from how the job is actually done, not idealized procedures or trial-and-error shadowing. New hires are slow when the real process lives in people’s heads and the SOPs do not match reality. Ledgerium AI records the real workflows and turns them into SOPs and process maps new hires can follow step by step, including the exceptions, so they reach productivity faster and ask fewer repeat questions, while freeing experienced staff from constant interruptions. From Ledgerium recordings: Because Ledgerium captures the real steps including exceptions, new hires follow what the job actually requires rather than a happy-path document, which removes most of the trial-and-error that slows ramp time. - [How to capture tribal knowledge](https://ledgerium.ai/use-cases/problems/how-to-capture-tribal-knowledge): Capture tribal knowledge by recording how experts actually do the work, turning what lives in their heads into SOPs and process maps before they leave. To capture tribal knowledge, record how your experts actually perform their key processes and turn those recordings into SOPs and process maps before the knowledge walks out the door. Tribal knowledge is risky because it lives in one person’s head and disappears when they leave. Ledgerium AI records the real workflow, including the shortcuts and exceptions experts take without thinking, and generates documentation from it, so the process survives the person and the organization keeps what it knows. From Ledgerium recordings: Experts perform shortcuts and exception handling automatically and rarely think to mention them in an interview. Ledgerium records those steps as they happen, so the captured knowledge includes the parts the expert would never have described. - [How to create current state process maps](https://ledgerium.ai/use-cases/problems/how-to-create-current-state-process-maps): Create current state process maps by recording the real workflow and generating the map from it, so it shows how work actually happens. To create a current state process map, record the real workflow as people perform it and generate the map from that recording rather than drawing it in a workshop. A current state map is only useful if it reflects reality, and workshop maps drift toward the ideal process. Ledgerium AI records the actual steps, including the cross-system handoffs, and produces a process map backed by observed evidence, so your current state shows how the work truly runs and gives you a baseline to design changes against. From Ledgerium recordings: A workshop map is an agreement about the process; a recorded map is a record of it. Ledgerium builds the current-state map from observed steps with timing, so it reflects the real path including the cross-system handoffs a whiteboard usually omits. - [How to baseline a workflow](https://ledgerium.ai/use-cases/problems/how-to-baseline-a-workflow): Baseline a workflow by recording how it runs today, capturing timing, steps, and variation, so you can measure any improvement against a real starting point. To baseline a workflow, record how it runs today and capture the timing, steps, and variation between people, so you have a real starting point to measure improvement against. Without a baseline, any change is asserted rather than proven. Ledgerium AI records the current workflow and produces a process map with timing, wait time, rework, and variation, which becomes your baseline. After you change the process, re-recording shows the difference against that baseline in concrete numbers rather than impressions. From Ledgerium recordings: Ledgerium captures variation between people running the same workflow, so a baseline includes not just the average time but how much the process differs run to run, which is the standardization gap most baselines never quantify. - [How to find process waste](https://ledgerium.ai/use-cases/problems/how-to-find-process-waste): Find process waste by recording a workflow and reviewing where time is lost to waiting, rework, and unnecessary steps, with the evidence to back each finding. To find process waste, record a workflow and review where time goes to waiting, rework, and steps that add no value, instead of guessing from a value-stream workshop. Most waste hides in wait time and handoffs, which people underestimate because they only feel the active work. Ledgerium AI records the real process and produces a report that separates work time from wait time, flags rework, and shows variation between people, so you can target the waste that actually costs the most with evidence behind every finding. From Ledgerium recordings: Ledgerium separates work time from wait time on every step, so the report shows that most waste is usually waiting and handoffs rather than the active task, which is the waste a stopwatch on the busy step never reveals. - [How to standardize a workflow](https://ledgerium.ai/use-cases/problems/how-to-standardize-workflows): Standardize a workflow by recording how each person runs it, comparing the variation, and agreeing on one documented version the team follows. To standardize how a team performs a workflow, record several people running it, compare the variation between their runs, agree on one best version, and document it as the SOP everyone follows. Standardization fails when the standard is written from memory and never matches what people actually do. Ledgerium AI records the real runs, surfaces where they differ, and generates an SOP from the agreed version, so the standard is built from observed work rather than an opinion about how the process should run. From Ledgerium recordings: Ledgerium captures how the same workflow differs run to run, so you can see exactly where two people diverge before you write a standard, instead of standardizing on a guess about which version is correct. - [How to prepare for a process audit](https://ledgerium.ai/use-cases/problems/how-to-prepare-for-a-process-audit): Prepare for a process audit by recording how the work is really done, generating SOPs and process maps, so your evidence matches actual practice. To prepare for a process audit, document how the work is actually performed, not how a policy says it should be, so your SOPs and process maps match what an auditor will observe. Audits go badly when the documentation describes an ideal process the team does not follow. Ledgerium AI records the real workflow and generates SOPs and process maps from it, so your evidence reflects actual practice and the gap between written procedure and real work is closed before the auditor finds it. From Ledgerium recordings: Because Ledgerium documents from a real run, the SOP and the observed work are the same source, so the documentation an auditor reviews matches the practice they would see, which removes the most common audit finding. - [How to document a workflow across multiple systems](https://ledgerium.ai/use-cases/problems/how-to-document-a-workflow-across-multiple-systems): Document a workflow that spans several systems by recording one real run, so the cross-system handoffs are captured instead of lost between tools. To document a process that spans several tools, record one real run that moves across all of them, so the handoffs between systems are captured instead of falling through the cracks. Multi-system processes are hard to document because no single tool sees the whole path, and the steps between systems are where the real work hides. Ledgerium AI records the workflow across each browser-based system in one session and generates an SOP and process map that includes the lookups, copies, and handoffs that connect the tools together. From Ledgerium recordings: Ledgerium records the steps between systems, the lookups, copies, and re-keying that connect one tool to the next, which is exactly the work each individual system has no record of and interviews routinely skip. - [How to keep SOPs up to date](https://ledgerium.ai/use-cases/problems/how-to-keep-sops-up-to-date): Keep SOPs up to date by generating them from recordings, then re-recording when the process changes, so updating is a re-record not a rewrite. To keep SOPs current instead of stale, generate them from recordings of real work and re-record when the process changes, so updating is a quick re-record rather than a manual rewrite nobody has time for. SOPs go stale because hand-editing a document after every change is a job no one owns. Ledgerium AI generates the SOP from a recording, so when the process changes you re-record and the SOP regenerates, which keeps the documentation tied to how the work is actually done today. From Ledgerium recordings: Because the SOP is generated from a recording, updating after a process change is a re-record, not a line-by-line rewrite, which removes the manual maintenance cost that is the real reason SOPs go stale. - [How to measure process improvement](https://ledgerium.ai/use-cases/problems/how-to-measure-process-improvement): Measure process improvement by baselining the workflow first, then re-recording after the change, so the gain is proven, not just claimed. To measure whether a process change actually improved things, baseline the workflow before the change, make the change, then re-record and compare, so the gain in time, steps, or rework is proven rather than asserted. Improvements lose support when the impact cannot be shown in numbers. Ledgerium AI records the before and after of the same workflow and compares timing, wait time, rework, and variation, so you can see the real effect of a change instead of relying on impressions about whether it helped. From Ledgerium recordings: Ledgerium compares the same workflow before and after a change across timing, wait time, rework, and variation, so the improvement is shown as a measured difference rather than a claimed one, on the same evidence base both times. - [How to identify process bottlenecks](https://ledgerium.ai/use-cases/problems/how-to-identify-process-bottlenecks): Find process bottlenecks by recording the workflow and reviewing where work waits, so you target the step that holds up the whole process. To find where a process slows down, record the workflow and review where work piles up and waits, rather than guessing from the step that feels busiest. The bottleneck is usually a wait or a handoff, not the active work, so it stays invisible until you separate work time from wait time. Ledgerium AI records the real process and shows where time is spent waiting versus working, which step holds up the rest, and how much, so you fix the constraint that actually limits the process instead of a step that merely looks busy. From Ledgerium recordings: Ledgerium separates work time from wait time on each step, so a queue that adds days of delay is visible even when the active task itself is fast, which is the bottleneck a stopwatch on the busy step would never find. - [How to reduce process variation](https://ledgerium.ai/use-cases/problems/how-to-reduce-process-variation): Reduce process variation by recording how different people run the same workflow, comparing the runs, and standardizing on one documented version. To reduce how much a process differs between people, record several people running the same workflow, compare where their runs diverge, and standardize on one documented version with the exceptions made explicit. Variation hides because each person believes they follow the same process when they do not. Ledgerium AI records the real runs, quantifies how much they differ in steps and time, and generates an SOP from the agreed version, so the team converges on consistent work measured from real runs rather than assumed sameness. From Ledgerium recordings: Ledgerium quantifies how much the same workflow differs run to run, so variation is a measured number rather than a hunch, which lets a team see whether two people really run the process the same way before assuming they do. - [How to document a process without interviewing everyone](https://ledgerium.ai/use-cases/problems/how-to-document-a-process-without-interviewing-everyone): Document a process without rounds of interviews by recording one real run, then generating the SOP and process map from what was actually done. To capture a process without rounds of interviews, record one real run as someone performs it and generate the SOP and process map from the recording, instead of reconstructing the process through meetings. Interviews are slow, depend on recall, and miss the automatic steps people forget to mention. Ledgerium AI records the actual work, including the lookups and exceptions, and turns it into documentation, so you skip the interview cycle and the result reflects what was really done rather than what people remembered to say. From Ledgerium recordings: A recording captures the automatic steps an expert would never think to mention in an interview, so the documentation includes the lookups, copies, and exceptions that rounds of meetings routinely miss. - [How to reduce rework](https://ledgerium.ai/use-cases/problems/how-to-reduce-rework): Reduce rework by recording where work loops back for correction, finding the upstream step that causes do-overs, and fixing the root cause. To reduce rework and do-overs, record the workflow, find where items loop back for correction, and trace each loop to the upstream step that caused it, then fix that root cause rather than the symptom. Rework hides because the correction happens far from the mistake that produced it. Ledgerium AI records the real process, flags where work returns for redo, and shows the earlier step where the error entered, so you fix the cause of the do-over instead of getting faster at repeating it. From Ledgerium recordings: Ledgerium links each redo to the earlier step that introduced the error, so the cause of rework is shown as a traceable connection between two steps rather than guessed at from where the correction happens. - [How to document an approval workflow](https://ledgerium.ai/use-cases/problems/how-to-document-approval-workflows): Document an approval workflow by recording a real run, capturing the routing, dollar thresholds, and exception paths approvers actually use. To document an approval workflow, record a real run from request to final sign-off and capture the routing rules, the dollar or risk thresholds that change who approves, and the exception paths people take when something does not fit. Approval processes are hard to write from memory because the routing and thresholds live in people’s habits. Ledgerium AI records how an approval actually moves, including the escalations and exceptions, and generates an SOP and process map, so the documented routing matches what approvers really do. From Ledgerium recordings: Ledgerium captures the threshold points where an approval path changes, who signs off, and how escalations are handled, so the routing is documented from observed approvals rather than from an approval matrix that describes intent. - [How to train employees on a process](https://ledgerium.ai/use-cases/problems/how-to-train-employees-on-a-process): Train staff on a process using documentation generated from real work, so they learn how the job is actually done instead of by trial and error. To train staff on a process, give them documentation generated from how the job is actually done, then have them follow it on a real task while an experienced person reviews the result. Training fails when the material describes an ideal process the team does not run. Ledgerium AI records the real workflows, including the exceptions, and turns them into SOPs and process maps trainees can follow step by step, so people learn the job as it truly works rather than picking it up by watching and guessing. From Ledgerium recordings: Because the training material is generated from a real run, every trainee follows the same documented steps and exceptions, which removes the variation that comes from each person learning by watching a different colleague. - [How to document a finance process](https://ledgerium.ai/use-cases/problems/how-to-document-a-finance-process): Document a finance process by recording a real run across each system, capturing the controls, approvals, and cross-system steps an auditor checks. To document a finance process, record a real run across each system it touches and capture the controls, the approvals, and the reconciliation steps that connect one tool to the next, so the documentation matches what actually happens at close. Finance work is hard to document because the controls and cross-system steps live in the preparer’s routine. Ledgerium AI records the real workflow, including the lookups and sign-offs between systems, and generates an SOP and process map, so the controls are documented from real work rather than from a policy binder. From Ledgerium recordings: Ledgerium records the control steps a preparer performs between systems, the reconciliations, checks, and sign-offs, so the documented controls come from observed work rather than from a policy that states what should happen. - [How to measure process cycle time](https://ledgerium.ai/use-cases/problems/how-to-measure-cycle-time): Measure process cycle time by recording a workflow and splitting it into work time and wait time, so you see where the days actually go. To measure process cycle time, record the workflow from start to finish and split the total into work time, the active steps, and wait time, the queues and handoffs in between, so you see where the days actually go. People underestimate cycle time because they only feel the active work, not the waiting. Ledgerium AI records the real process and separates work from wait on every step, so cycle time is measured from observed runs rather than estimated. From Ledgerium recordings: Ledgerium splits every step into work time and wait time, so cycle time is reported as activity plus queues rather than a single estimate, which usually reveals that the wait, not the work, is most of the elapsed time. - [How to document a process for compliance](https://ledgerium.ai/use-cases/problems/how-to-document-a-process-for-compliance): Produce compliance-ready process documentation by recording how the work is really done, so your SOPs and evidence match what an auditor observes. To produce compliance-ready process documentation, record how the work is actually performed and generate the SOPs, process maps, and step evidence from that recording, so what you hand a reviewer matches what the team really does. Compliance documentation fails when it describes a policy the team does not follow. Ledgerium AI records the real workflow, including the controls and exceptions, and produces documentation tied to the observed run, so the evidence reflects practice and the gap between the written procedure and the work is closed before a reviewer finds it. From Ledgerium recordings: Because Ledgerium documents from a real run, the SOP and the observed work share one source, so the control a reviewer reads about is the same control they would watch performed, which removes the most common compliance finding. ## AI opportunities by function Index: https://ledgerium.ai/ai-opportunities - [AI opportunities in accounts payable](https://ledgerium.ai/ai-opportunities/accounts-payable): Where AI and automation actually help in accounts payable, and where humans should stay. Record a real AP workflow to find your strongest candidates. The strongest AI and automation opportunities in accounts payable are the repetitive, rule-based steps: matching invoices to purchase orders, coding expenses, and flagging exceptions. Approvals and judgment calls should keep a human involved. You cannot pick the right candidates from opinion, so start by recording a real AP workflow. Ledgerium captures the steps and timing, then scores where time is spent and which steps repeat, so you target the costly work with evidence instead of automating whatever feels busiest. From Ledgerium recordings: Ledgerium scores AP automation candidates from the recorded process by combining how often a step repeats with how much time it takes, so the highest-value candidate is identified from observed data rather than from opinion. - [AI opportunities in HR onboarding](https://ledgerium.ai/ai-opportunities/hr-onboarding): Where AI and automation help in HR onboarding, and where HR judgment must stay. Record a real onboarding workflow to find strong candidates. The strongest AI and automation opportunities in HR onboarding are the repetitive, rule-based steps: creating accounts, sending standard documents, and scheduling first-week tasks. Hiring decisions, accommodation requests, and sensitive conversations should keep a human involved. You cannot pick the right candidates from memory, so start by recording a real onboarding workflow. Ledgerium captures the steps and timing, then scores where time is spent and which steps repeat, so you target the costly work with evidence documented from real work, not from a wish list. From Ledgerium recordings: Ledgerium scores onboarding automation candidates from the recorded process by combining how often a step repeats with how much time it takes, so the highest-value candidate is documented from real work rather than guessed at in a planning meeting. - [AI opportunities in customer support](https://ledgerium.ai/ai-opportunities/customer-support): Where AI and automation help in customer support, and where agents must stay. Record a real ticket workflow to find your best candidates. The strongest AI and automation opportunities in customer support are the repetitive, rule-based steps: triaging tickets, drafting standard replies, and looking up account details. Refunds, escalations, and upset-customer recovery should keep a human involved. You cannot pick the right candidates from memory, so start by recording a real ticket workflow. Ledgerium captures the steps and timing, then scores where time is spent and which steps repeat, so you target the costly work with evidence documented from real work rather than from the noisiest queue. From Ledgerium recordings: Ledgerium scores support automation candidates from the recorded process by combining how often a step repeats with how much time it takes, so the highest-value candidate is documented from real agent work instead of assumed from ticket counts. - [AI opportunities in sales operations](https://ledgerium.ai/ai-opportunities/sales-operations): Where AI and automation help in sales operations, and where reps must judge. Record a real sales workflow to find strong candidates. The strongest AI and automation opportunities in sales operations are the repetitive, rule-based steps: enriching leads, updating records, and generating routine quotes. Deal strategy, discount approvals, and forecast calls should keep a human involved. You cannot pick the right candidates from memory, so start by recording a real sales-ops workflow. Ledgerium captures the steps and timing, then scores where time is spent and which steps repeat, so you target the costly work with evidence documented from real work rather than from the loudest rep. From Ledgerium recordings: Ledgerium scores sales-ops automation candidates from the recorded process by combining how often a step repeats with how much time it takes, so the highest-value candidate is documented from real work rather than guessed from pipeline reports. - [AI opportunities in procurement](https://ledgerium.ai/ai-opportunities/procurement): Where AI and automation help in procurement, and where buyers must judge. Record a real purchasing workflow to find strong candidates. The strongest AI and automation opportunities in procurement are the repetitive, rule-based steps: creating purchase orders, matching them to receipts, and onboarding routine vendors. Sourcing decisions, contract terms, and risk reviews should keep a human involved. You cannot pick the right candidates from memory, so start by recording a real procurement workflow. Ledgerium captures the steps and timing, then scores where time is spent and which steps repeat, so you target the costly work with evidence documented from real work, not from a procurement policy binder. From Ledgerium recordings: Ledgerium scores procurement automation candidates from the recorded process by combining how often a step repeats with how much time it takes, so the highest-value candidate is documented from real buyer work instead of inferred from spend reports. - [AI opportunities in finance operations](https://ledgerium.ai/ai-opportunities/finance-operations): Where AI and automation help in finance operations, and where controllers must stay. Record a real finance workflow to find candidates. The strongest AI and automation opportunities in finance operations are the repetitive, rule-based steps: reconciling accounts, posting routine journal entries, and pulling data for close. Adjustments, estimates, and sign-offs should keep a human involved. You cannot pick the right candidates from memory, so start by recording a real finance workflow. Ledgerium captures the steps and timing, then scores where time is spent and which steps repeat, so you target the costly work with evidence documented from real work rather than from a close checklist. From Ledgerium recordings: Ledgerium scores finance-ops automation candidates from the recorded process by combining how often a step repeats with how much time it takes, so the highest-value candidate is documented from real work instead of assumed from the close calendar. - [AI opportunities in Compliance](https://ledgerium.ai/ai-opportunities/compliance-workflows): Where AI and automation help in compliance work, and where reviewers must stay. Record a real compliance workflow to find candidates. The strongest AI and automation opportunities in compliance work are the repetitive, rule-based steps: collecting evidence, checking records against a standard, and assembling audit packets. Risk judgments, control sign-offs, and regulator responses should keep a human involved. You cannot pick the right candidates from memory, so start by recording a real compliance workflow. Ledgerium captures the steps and timing, then scores where time is spent and which steps repeat, so you target the costly work with evidence documented from real work, not from a control narrative written after the fact. From Ledgerium recordings: Ledgerium scores compliance automation candidates from the recorded process by combining how often a step repeats with how much time it takes, so the highest-value candidate is documented from real work rather than described from memory in a control narrative. - [AI opportunities in ERP operations](https://ledgerium.ai/ai-opportunities/erp-workflows): Where AI and automation help in ERP operations, and where staff must judge exceptions. Record a real ERP workflow to find candidates. The strongest AI and automation opportunities in ERP operations are the repetitive, rule-based steps: entering orders, maintaining master data, and moving records between modules. Configuration changes, exceptions, and approvals should keep a human involved. You cannot pick the right candidates from memory, so start by recording a real ERP workflow. Ledgerium captures the steps and timing, then scores where time is spent and which steps repeat, so you target the costly work with evidence documented from real work rather than from a system diagram. From Ledgerium recordings: Ledgerium scores ERP automation candidates from the recorded process by combining how often a step repeats with how much time it takes, so the highest-value candidate is documented from real work instead of guessed from a system map. ## By department Index: https://ledgerium.ai/departments - [Finance workflows](https://ledgerium.ai/departments/finance): Document and improve finance workflows by recording how they really run. Get SOPs, process maps, and AI opportunities for AP, close, expenses, and approvals. Finance runs on repeatable workflows like invoice approval, the month-end close, expense reporting, and purchase orders, and most of them are documented from memory if at all. Recording how each one actually runs gives you an SOP, a process map, and a report showing where time is lost and what is worth automating. Ledgerium captures the real steps across your finance systems, so the documentation matches how the team works and gives you a baseline to standardize and improve against. From Ledgerium recordings: Across finance processes, most cycle time is wait time, not work time. Ledgerium timestamps each step, so the report shows how long an invoice or close task waits rather than how long the action takes. - [HR workflows](https://ledgerium.ai/departments/hr): Document HR and people ops workflows by recording how they really run. Get SOPs, process maps, and AI opportunities for hiring and onboarding. HR and people ops run on repeatable workflows like employee onboarding, leave requests, case handling, and offboarding, and most are documented from memory if at all. Recording how each one actually runs gives you an SOP, a process map, and a report showing where time is lost and what is worth automating. Ledgerium captures the real steps across your HR systems, so the documentation matches how the team works and gives you a baseline to standardize and improve against. From Ledgerium recordings: Across onboarding processes, most cycle time is wait time between handoffs, not work time. Ledgerium timestamps each step, so the report shows how long a new hire waits on access or paperwork rather than how long the task takes. - [Operations workflows](https://ledgerium.ai/departments/operations): Document operations workflows by recording how they really run. Get SOPs, process maps, and AI opportunities for fulfillment, orders, and handoffs. Operations runs on repeatable workflows like order processing, fulfillment, incident handling, and returns, and most of them are documented from memory if at all. Recording how each one actually runs gives you an SOP, a process map, and a report showing where time is lost and what is worth automating. Ledgerium captures the real steps across your operations systems, so the documentation matches how the team works and gives you a baseline to standardize and improve against. From Ledgerium recordings: Across operations processes, most cycle time is wait time at handoffs, not work time. Ledgerium timestamps each step, so the report shows how long an order waits between teams rather than how long the action takes. - [Customer support workflows](https://ledgerium.ai/departments/customer-support): Document customer support workflows by recording how they really run. Get SOPs, process maps, and AI opportunities for tickets and escalations. Customer support runs on repeatable workflows like ticket resolution, escalations, refunds, and returns, and most of them are documented from memory if at all. Recording how each one actually runs gives you an SOP, a process map, and a report showing where time is lost and what is worth automating. Ledgerium captures the real steps across your support systems, so the documentation matches how the team works and gives you a baseline to standardize and improve against. From Ledgerium recordings: Across support processes, most cycle time is wait time between replies and handoffs, not work time. Ledgerium timestamps each step, so the report shows how long a ticket waits on an escalation rather than how long the reply takes. - [Sales operations workflows](https://ledgerium.ai/departments/sales-operations): Document sales operations workflows by recording how they really run. Get SOPs, process maps, and AI opportunities for leads and orders. Sales operations runs on repeatable workflows like lead qualification, order processing, quoting, and CRM hygiene, and most of them are documented from memory if at all. Recording how each one actually runs gives you an SOP, a process map, and a report showing where time is lost and what is worth automating. Ledgerium captures the real steps across your CRM and sales systems, so the documentation matches how the team works and gives you a baseline to standardize and improve against. From Ledgerium recordings: Across sales ops processes, most cycle time is wait time between handoffs, not work time. Ledgerium timestamps each step, so the report shows how long a lead waits before qualification rather than how long the action takes. - [Procurement workflows](https://ledgerium.ai/departments/procurement): Document procurement workflows by recording how they really run. Get SOPs, process maps, and AI opportunities for purchasing and vendors. Procurement runs on repeatable workflows like purchase orders, vendor setup, approvals, and invoice matching, and most of them are documented from memory if at all. Recording how each one actually runs gives you an SOP, a process map, and a report showing where time is lost and what is worth automating. Ledgerium captures the real steps across your procurement systems, so the documentation matches how the team works and gives you a baseline to standardize and improve against. From Ledgerium recordings: Across procurement processes, most cycle time is wait time in approval queues, not work time. Ledgerium timestamps each step, so the report shows how long a purchase order waits for sign-off rather than how long the action takes. - [IT workflows](https://ledgerium.ai/departments/it): Document IT workflows by recording how they really run. Get SOPs, process maps, and AI opportunities for access, incidents, and resets. IT runs on repeatable workflows like access provisioning, password resets, incident management, and onboarding setup, and most of them are documented from memory if at all. Recording how each one actually runs gives you an SOP, a process map, and a report showing where time is lost and what is worth automating. Ledgerium captures the real steps across your IT systems, so the documentation matches how the team works and gives you a baseline to standardize and improve against. From Ledgerium recordings: Across IT processes, most cycle time is wait time in approval and queue handoffs, not work time. Ledgerium timestamps each step, so the report shows how long an access request waits for sign-off rather than how long the action takes. - [Compliance workflows](https://ledgerium.ai/departments/compliance): Document compliance workflows by recording how they really run. Get SOPs, process maps, and AI opportunities for audits and controls. Compliance runs on repeatable workflows like control testing, audit preparation, evidence collection, and policy attestation, and most of them are documented from memory if at all. Recording how each one actually runs gives you an SOP, a process map, and a report showing where time is lost and what is worth automating. Ledgerium captures the real steps across your compliance systems, so the documentation matches how the team works and gives you a baseline to standardize and improve against. From Ledgerium recordings: Across compliance processes, most cycle time is wait time on evidence requests, not work time. Ledgerium timestamps each step, so the report shows how long a control test waits on evidence rather than how long the review takes. - [Legal workflows](https://ledgerium.ai/departments/legal): Document legal workflows like contract review, redlines, and approval routing by recording how they really run. Get SOPs, process maps, and AI opportunities. Legal teams run on document-heavy workflows like contract review, redlining, approval routing, and matter intake, and most of the real routing lives in a lead lawyer’s or paralegal’s head rather than in a written procedure. Recording how each one actually runs produces an SOP, a process map, and a report showing where a document waits for sign-off and which steps are worth automating. Ledgerium captures the real steps across your contract, e-signature, and matter-management systems, so the documentation matches how legal work is really routed and gives you a baseline to standardize against. From Ledgerium recordings: Across contract workflows, most cycle time is wait time in approval routing, not drafting time. Ledgerium timestamps each step, so the report shows how long a contract waits for a reviewer or signature rather than how long the edit takes. ## By industry Index: https://ledgerium.ai/industries - [Manufacturing workflow documentation](https://ledgerium.ai/industries/manufacturing): Document manufacturing back-office and ERP workflows by recording how they really run. Get SOPs, process maps, and AI opportunities tied to the real work. Manufacturers depend on consistent processes, but the office and system side, order processing, procurement, quality records, and ERP steps, is often documented from memory and drifts out of date. Recording how each workflow actually runs gives you an SOP, a process map, and a report showing where time is lost and what is worth automating. Ledgerium captures the real browser-based steps across your ERP and systems, so the documentation matches how the plant office actually works. From Ledgerium recordings: Manufacturing ERP workflows differ by role and plant configuration. Ledgerium records the process as the actual role performs it, so the SOP reflects what that user sees rather than an administrator’s view. - [Healthcare workflow documentation](https://ledgerium.ai/industries/healthcare): Document healthcare admin and back-office workflows by recording how they really run. Get SOPs, process maps, and AI ideas, no PHI captured. Healthcare back-office work, patient admissions, scheduling, billing, prior authorization, and records handling, is often run from memory and varies by clinic. Recording how each workflow actually runs gives you an SOP, a process map, and a report showing where time is lost and what is worth automating. Ledgerium captures the real browser-based steps across your admin systems. It records no screenshots and no PHI, so documentation reflects how the office really works without exposing patient data. From Ledgerium recordings: Healthcare admin workflows vary by payer and clinic configuration. Ledgerium records the process as the actual role performs it and captures no PHI, so the SOP reflects the real steps without exposing patient data. - [Insurance workflow documentation](https://ledgerium.ai/industries/insurance): Document insurance claims, underwriting, and policy admin workflows by recording how they run. Get SOPs, process maps, and AI opportunities. Insurance operations run on claims intake, underwriting reviews, and policy administration, but these workflows are usually documented from memory and drift as systems change. Recording how each one actually runs produces an SOP, a process map, and a report showing where handoffs stall and what is worth automating. Ledgerium captures the real browser-based steps across your policy and claims systems, so the documentation matches how adjusters and underwriters actually work, not how a manual assumes they do. From Ledgerium recordings: Insurance claims and underwriting workflows vary by line of business and role. Ledgerium records the process as the actual adjuster or underwriter performs it, so the SOP reflects the real steps rather than a manual’s assumptions. - [Banking workflow documentation](https://ledgerium.ai/industries/banking): Document banking and financial services workflows by recording how they really run. Get SOPs, process maps, and AI opportunities. Banking and financial services depend on consistent onboarding, KYC checks, operations, and controls, but the system steps are often documented from memory and vary by team. Recording how each workflow actually runs gives you an SOP, a process map, and a report showing where time is lost and what is worth automating. Ledgerium captures the real browser-based steps across your core and back-office systems, so documentation reflects how the work is really performed and supports audit evidence. From Ledgerium recordings: Banking operations workflows vary by product and role. Ledgerium records the process as the actual operator performs it, so the SOP reflects the real steps and provides audit evidence rather than an idealized procedure. - [SaaS workflow documentation](https://ledgerium.ai/industries/saas): Document SaaS onboarding, support, and RevOps workflows by recording how they really run. Get SOPs, process maps, and AI opportunities. SaaS teams run customer onboarding, support, and RevOps across many tools, but the steps live in people’s heads and change every release. Recording how each workflow actually runs produces an SOP, a process map, and a report showing where time is lost and what is worth automating. Ledgerium captures the real browser-based steps across your CRM, support, and billing tools, so documentation matches how the team works today rather than a stale onboarding doc written months ago. From Ledgerium recordings: SaaS processes change with each release and rarely get re-documented. Ledgerium records how the workflow runs today across your tools, so the SOP reflects current practice rather than an onboarding doc written months ago. - [Professional services workflow documentation](https://ledgerium.ai/industries/professional-services): Document professional services client onboarding, delivery, and billing workflows by recording how they run. Get SOPs and process maps. Professional services firms run client onboarding, delivery, and billing the same way each engagement, in theory, but in practice the steps live with individual staff and vary by client. Recording how each workflow actually runs gives you an SOP, a process map, and a report showing where time is lost and what is worth automating. Ledgerium captures the real browser-based steps across your delivery and billing systems, so documentation reflects how work is really done and new hires ramp faster. From Ledgerium recordings: Professional services delivery varies by client and consultant. Ledgerium records the process as the actual person performs it, so the SOP reflects how work is really done and shortens ramp time for new hires. - [Government workflow documentation](https://ledgerium.ai/industries/government): Document public sector case processing, approvals, and records workflows by recording how they run. Get SOPs and process maps. Public sector teams process cases, approvals, and records through defined procedures, but the actual system steps are often documented from memory and vary by office. Recording how each workflow actually runs produces an SOP, a process map, and a report showing where time is lost and what is worth automating. Ledgerium captures the real browser-based steps across your case and records systems, so documentation matches how staff really work and provides evidence the procedure is followed. From Ledgerium recordings: Public sector workflows vary by office and legacy system. Ledgerium records the process as the actual caseworker performs it, so the SOP reflects the real steps and provides evidence the procedure is followed. - [Education workflow documentation](https://ledgerium.ai/industries/education): Document education admissions, enrollment, and administrative workflows by recording how they run. Get SOPs and process maps. Education institutions run admissions, enrollment, and administrative processes across many systems, but the steps are usually documented from memory and shift each term. Recording how each workflow actually runs gives you an SOP, a process map, and a report showing where time is lost and what is worth automating. Ledgerium captures the real browser-based steps across your student and administrative systems, so documentation reflects how staff actually work rather than an outdated handbook. From Ledgerium recordings: Education admin workflows shift each term and span several systems. Ledgerium records the process as the actual administrator performs it, so the SOP reflects the current steps rather than a handbook written for a past cycle. - [Retail workflow documentation](https://ledgerium.ai/industries/retail): Document retail store ops, e-commerce fulfillment, and returns workflows by recording how they really run. Get SOPs, process maps, and AI opportunities. Retail runs on repeatable back-office workflows like store opening routines, e-commerce fulfillment, returns and exchanges, and vendor onboarding, yet most are learned on the floor and passed along by word of mouth. Recording how each one runs produces an SOP, a process map, and a report showing where handoffs stall and which steps are worth automating. Ledgerium captures the real browser-based steps across your POS back office, e-commerce platform, and inventory systems, so documentation reflects how store and fulfillment teams truly work rather than a stale binder. From Ledgerium recordings: Retail fulfillment and returns workflows vary by sales channel and season. Ledgerium records the process as the actual associate performs it, so the SOP reflects the real channel-specific steps rather than a corporate binder written for a past season. ## By role Index: https://ledgerium.ai/use-cases/personas - [Ledgerium AI for operations managers](https://ledgerium.ai/use-cases/personas/operations-managers): Operations managers use Ledgerium to document real workflows, build SOPs, and find improvements by recording how work actually happens. Ledgerium helps operations managers document how work actually happens, then turn it into SOPs, process maps, and improvement ideas. Instead of interviewing everyone and writing procedures from memory, you record the real workflow once and get a step-by-step SOP, a process map, and a report showing where time is lost. That gives you a current-state baseline you can standardize, measure, and improve, and that new hires can actually follow, without pulling your team off their work to write documentation. From Ledgerium recordings: Ledgerium separates work time from wait time on every recorded process, so an operations manager can see that most cycle time is usually waiting and handoffs, not the active task, which is where the fastest improvements come from. - [Ledgerium AI for consultants](https://ledgerium.ai/use-cases/personas/consultants): Consultants use Ledgerium to capture client current-state fast, recording real workflows to generate SOPs, process maps, and improvement findings. Ledgerium helps consultants capture a client current-state quickly and credibly. Instead of running days of interviews and workshops to reconstruct how a process works, you record the real workflow and get a process map, an SOP, and a report that shows bottlenecks and rework. That gives you an evidence-based current-state you can put in front of a client on day one, document deliverables your engagement can reuse, and a baseline to measure the improvement you deliver against. From Ledgerium recordings: Because Ledgerium records the real workflow with timing, a consultant gets a current-state map backed by observed evidence rather than interview recall, which clients challenge far less than a workshop-built diagram. - [Ledgerium AI for RevOps managers](https://ledgerium.ai/use-cases/personas/revops-managers): RevOps managers use Ledgerium to document CRM workflows and handoffs by recording the real process and generating SOPs, process maps, and automation findings. Ledgerium helps RevOps managers document the CRM workflows and cross-team handoffs that revenue runs on. Lead routing, opportunity handoff, and renewal processes live across Salesforce, email, and billing, and the real steps are rarely written down. You record the actual process and get an SOP, a process map, and a report showing where deals and handoffs stall, so you can standardize the motion, onboard reps faster, and find the steps worth automating. From Ledgerium recordings: Revenue handoffs lose time between teams, not inside a single task. Ledgerium timestamps each step, so a RevOps manager can see how long a lead or deal waits at each handoff rather than only how long the active work takes. - [Ledgerium AI for business analysts](https://ledgerium.ai/use-cases/personas/business-analysts): Business analysts use Ledgerium to capture as-is processes by recording real workflows and producing process maps, SOPs, and grounded requirements. Ledgerium helps business analysts capture an accurate as-is process without reconstructing it from interviews. You record the real workflow and get a process map, an SOP, and timing data that show how the process actually runs, including the exceptions stakeholders forget to mention. That gives you an evidence-based as-is to anchor requirements, gap analysis, and to-be design, and a baseline to measure the change you specify against. From Ledgerium recordings: Ledgerium records the steps between systems that stakeholders forget in interviews, the lookups, copies, and manual checks, so an analyst’s as-is reflects the real process rather than the cleaned-up version people describe. - [Ledgerium AI for M&A integration leads](https://ledgerium.ai/use-cases/personas/ma-integration-leads): M&A integration leads use Ledgerium to capture acquired-company processes fast by recording real workflows into SOPs, process maps, and findings. Ledgerium helps M&A integration leads capture how an acquired company actually works before harmonizing systems. Post-close timelines are tight and the target’s processes live in people’s heads, so reconstructing them through interviews is slow and risky. You record the real workflows and get SOPs, process maps, and a report on differences and overlaps, giving you an evidence-based current-state to plan harmonization, retain process knowledge as people leave, and measure the integration against. From Ledgerium recordings: When key people leave after a deal, their process knowledge usually goes with them. Ledgerium captures the real workflow as structured, recorded evidence, so the acquired-company process survives even after the person who ran it departs. - [Ledgerium AI for process excellence leads](https://ledgerium.ai/use-cases/personas/process-excellence-leads): Process excellence leads use Ledgerium to baseline workflows, find waste, and measure improvement by recording how work really happens. Ledgerium helps process excellence and continuous improvement leads baseline a process from real work, find waste, and prove the gains. Instead of building a value-stream map from a workshop and recall, you record the actual workflow and get a process map, timing, variation between people, and rework data. That gives you an evidence-based current-state to target waste, a measurable baseline for every improvement, and a fast way to check whether a standard is holding after you roll it out. From Ledgerium recordings: Ledgerium measures variation between people running the same process, so an improvement lead can quantify how much a workflow differs run to run, which is the standardization gap that value-stream workshops only estimate. - [Ledgerium AI for compliance teams](https://ledgerium.ai/use-cases/personas/compliance-teams): Compliance teams use Ledgerium to document control processes from real work, keeping audit-ready SOPs and process maps current, not from memory. Ledgerium helps compliance, risk, and audit teams document control processes from how the work is really done, then keep that documentation current. Instead of relying on procedures written from memory that drift between audits, you record the real workflow and get an SOP, a process map, and timing that show how the control actually operates, including the exceptions. That gives you evidence-linked, current documentation auditors can follow, and a fast way to re-check whether a control is still being performed as designed. From Ledgerium recordings: Ledgerium captures each step with system context and timing, so a compliance team can show not just that a control exists on paper but how it was actually performed, which is the evidence auditors ask for and recall-based procedures cannot provide. - [Ledgerium AI for HR and people ops teams](https://ledgerium.ai/use-cases/personas/hr-teams): HR teams use Ledgerium to document onboarding, offboarding, and people processes from real work, so SOPs stay current and easy to follow. Ledgerium helps HR and people ops teams document onboarding, offboarding, and the rest of the people processes that run across multiple systems. These workflows touch the HRIS, IT provisioning, payroll, and email, and the real steps are rarely written down in one place. You record the actual process and get an SOP, a process map, and timing that show how it really runs, so you can standardize it, hand it off without losing knowledge, and onboard new HR coordinators faster. From Ledgerium recordings: Employee onboarding spans the HRIS, IT, and payroll, and Ledgerium timestamps each step across those systems, so an HR team can see where a new hire actually waits, usually between handoffs to other teams rather than inside HR’s own tasks. - [Ledgerium AI for customer success teams](https://ledgerium.ai/use-cases/personas/customer-success-teams): Customer success teams use Ledgerium to document onboarding, QBRs, and renewal playbooks from real work, keeping SOPs current and consistent. Ledgerium helps customer success teams standardize the playbooks that drive retention. Customer onboarding, QBR prep, and renewals run across the CRM, the support tool, and billing, and every CSM tends to do them a little differently. You record the real process and get an SOP, a process map, and timing that show how the playbook actually runs, so you can make it consistent across the team, onboard new CSMs faster, and find the steps that slow a customer’s first value. From Ledgerium recordings: Ledgerium measures how much the same playbook varies between CSMs, so a CS leader can quantify the consistency gap in onboarding or renewal rather than guessing why some customers get a smoother experience than others. - [Ledgerium AI for training managers](https://ledgerium.ai/use-cases/personas/training-managers): Training managers use Ledgerium to build training material from how the job is really done, recording real workflows into clear, current SOPs. Ledgerium helps L&D and training managers build training material from how the job is really done, not from an idealized procedure. You record an experienced person running the workflow and get a step-by-step SOP, a process map, and timing you can turn into training content. That means your material reflects the real steps, including the workarounds and exceptions trainees actually hit, and you can refresh it by re-recording when the process changes instead of rewriting a manual from scratch. From Ledgerium recordings: Ledgerium records the exceptions and workarounds an expert handles without thinking, the lookups, the second-system checks, so training material covers the real job rather than the clean path that leaves trainees stuck the first time something unusual happens. - [Ledgerium AI for AI transformation teams](https://ledgerium.ai/use-cases/personas/ai-transformation-teams): AI transformation teams use Ledgerium to baseline processes from real work, finding where automation fits before they automate anything. Ledgerium helps AI and automation teams find where AI fits before they build anything, starting from a measured process baseline. Automating a process nobody has documented means automating the workarounds and the waste along with the work. You record the real workflow and get a process map, timing, and a report that scores repetitive, high-volume, rule-based steps, so you target automation at the steps that actually pay off, and you keep the baseline to measure what the automation changed. From Ledgerium recordings: Ledgerium scores each step of a recorded process for repetition, volume, and how rule-based it is, so an automation team can rank candidates by real evidence rather than picking the process that complained loudest. - [Ledgerium AI for BPO operations](https://ledgerium.ai/use-cases/personas/bpo-operations): BPO operations use Ledgerium to document client processes from real work before offshore handoff, keeping SOPs and process maps current. Ledgerium helps BPO and outsourcing operations document a client process before handing it to an offshore team, then keep it current as it runs. Transitions are tight and the client’s real process lives in people’s heads, so reconstructing it through calls is slow and leaves gaps the offshore team discovers later. You record the workflow and get an SOP, a process map, and timing the delivery team can follow, and re-recording keeps the documentation accurate as the process and the client’s systems change. From Ledgerium recordings: Ledgerium captures the cross-system steps a client mentions in passing during transition, the lookups, the second-screen checks, so the offshore team gets the real workflow rather than the simplified version that surfaces gaps in week two of go-live. - [Ledgerium AI for IT directors](https://ledgerium.ai/use-cases/personas/it-directors): IT directors use Ledgerium to document access provisioning and admin workflows by recording the real process into SOPs, maps, and automation scoring. Ledgerium helps IT directors document the access-provisioning and system-administration workflows that sprawl across a growing stack of SaaS tools. Joiner-mover-leaver requests, license assignments, and permission changes run through the identity provider, the ticketing system, and a dozen apps, and the real steps rarely match the runbook. You record the actual process and get an SOP, a process map, and timing that show where provisioning stalls, so you can standardize it across the team, cut onboarding delays, and see which repetitive admin steps are worth automating. From Ledgerium recordings: Access provisioning touches the identity provider, the ticketing tool, and each target app, and Ledgerium timestamps every step, so an IT director can see that most provisioning delay is approval and handoff waiting rather than the few minutes of actual account setup. - [Ledgerium AI for shared services leaders](https://ledgerium.ai/use-cases/personas/shared-services-leaders): Shared services leaders use Ledgerium to document high-volume workflows across business units, recording the real process into SOPs and automation scoring. Ledgerium helps shared services leaders standardize the high-volume, repeatable workflows a shared services center runs on behalf of many business units. The same invoice, hire, or reconciliation is processed hundreds of times, yet each business unit and each agent tends to do it a little differently. You record the real process and get an SOP, a process map, and timing that show how the work actually runs and where it varies, so you can standardize the motion across every unit, hit your SLAs, and rank the repetitive steps worth automating. From Ledgerium recordings: A shared services center runs the same process hundreds of times a month, and Ledgerium measures how much that process varies between agents and between business units, so a leader can put a number on the standardization gap that drives rework and missed SLAs. - [Ledgerium AI for insurance claims managers](https://ledgerium.ai/use-cases/personas/insurance-claims-managers): Insurance claims managers use Ledgerium to document FNOL-to-adjudication claims workflows by recording the real process into SOPs and timing. Ledgerium helps insurance claims managers document the claims workflows that run from first notice of loss through adjudication and settlement, including the document handling in between. FNOL intake, coverage verification, and adjudication cross the claims system, the policy admin system, and email, and the supporting documents a handler chases rarely follow a written procedure. You record the real process and get an SOP, a process map, and timing that show where a claim waits, so you can standardize how handlers work, cut cycle time, and see which document-heavy steps are worth automating. From Ledgerium recordings: A claim moves from FNOL to settlement across the claims system, the policy admin system, and a trail of supporting documents, and Ledgerium timestamps each step, so a claims manager can see that most cycle time is a claim waiting on documents and reviews rather than the handler’s active adjudication work. - [Ledgerium AI for legal operations managers](https://ledgerium.ai/use-cases/personas/legal-operations-managers): Legal operations managers use Ledgerium to document intake, contract, and approval-routing workflows by recording the real process into SOPs, maps, and timing. Ledgerium helps legal operations managers document the intake, contract, and approval-routing workflows that legal runs across the business. A legal request moves from intake through review, redlining, approval, and signature across the matter system, the contract tool, email, and DocuSign, and the routing rarely matches the playbook. You record the real process and get an SOP, a process map, and timing that show where a request or contract waits, so you can standardize how legal handles work, cut turnaround time, and see which routing and intake steps are worth automating. From Ledgerium recordings: A contract moves from intake through review, approval, and signature across the matter system, the contract tool, email, and DocuSign, and Ledgerium timestamps each step, so a legal ops manager can see that most turnaround time is a request waiting in an approval or signature queue rather than the lawyer’s active review. ## Comparisons - [Ledgerium vs Tango: which fits how your team documents work?](https://ledgerium.ai/compare/tango): Tango captures annotated screenshots of a process. Ledgerium captures structured interaction data with timing and system context. See the difference. Tango and Ledgerium both watch you work, but they record different things. Tango produces an annotated screenshot guide that shows what the screen looked like at each step. Ledgerium records structured interaction data, clicks, inputs, navigation, timing, and system context, then turns it into an SOP, a process map, and a workflow intelligence report. If you need a quick visual how-to, Tango fits. If you need process data you can measure, diff over time, and use to plan automation, Ledgerium fits. From Ledgerium recordings: Ledgerium records millisecond-level timing on every captured step, so two recordings of the same process can be diffed to show exactly where cycle time changed. A screenshot guide carries no timing, so the same comparison is not possible. - [Ledgerium vs writing SOPs by hand](https://ledgerium.ai/compare/manual-sop-documentation): Manual SOPs are written from memory and go stale fast. Ledgerium records the real workflow and generates the SOP from it. Compare the two approaches. Writing an SOP by hand means someone recalls a process and types it up. That is why manual SOPs miss workarounds, exceptions, and the exact system clicks, and why they drift out of date the moment the process changes. Ledgerium records the real workflow in the browser and generates the SOP from what actually happened, so it reflects the work rather than a memory of it. Manual documentation is cheaper to start and needs no tooling. Ledgerium is faster to keep accurate and produces measurable process data alongside the SOP. From Ledgerium recordings: Because Ledgerium captures every step as structured data, regenerating an SOP after a process changes is a re-record, not a rewrite. The manual equivalent is a full document edit each time the process drifts. - [Workflow recording vs process mining](https://ledgerium.ai/compare/process-mining): Process mining reads event logs from your systems. Ledgerium records the real browser workflow directly. Compare the two ways to see how work actually happens. Process mining and workflow recording both reveal how work happens, but they start from different data. Process mining reconstructs a process from event logs already sitting in your systems, so it needs systems that log the right events and a data team to extract them. Workflow recording captures the process directly as a person performs it in the browser, including the steps between systems that logs never see. Process mining suits high-volume, single-system processes with clean logs. Workflow recording suits cross-system, human-driven work where the logs are incomplete or do not exist. From Ledgerium recordings: Process mining can only see steps a system writes to a log. Ledgerium records the steps between systems, the copy-paste, the lookup in another tab, the manual check, which is exactly where undocumented work and rework hide. - [Workflow recording vs task mining](https://ledgerium.ai/compare/task-mining): Task mining samples desktop activity broadly and produces noisy data to analyze. Ledgerium records one real browser workflow into a usable SOP and map. Task mining and workflow recording both watch how people work, but they aim at different things. Task mining runs on the desktop and samples a wide stream of activity across many applications, which produces a large, noisy dataset that needs analysis before it means anything. Ledgerium records one chosen browser workflow as you perform it and turns that single run into an SOP, a process map, and an intelligence report directly. Task mining suits broad discovery across a whole department. Workflow recording suits documenting one process you already know matters. From Ledgerium recordings: Task mining captures broad activity and leaves you to find the signal in it. Ledgerium captures one targeted workflow as structured steps with millisecond timing, so the output is already a readable SOP and map, not a dataset waiting for an analyst. - [Workflow recording vs screen recording](https://ledgerium.ai/compare/screen-recording): A screen recording is great for a quick show-and-tell but is not structured or measurable. Ledgerium captures structured steps and timing, no screenshots. A screen recording captures video of what happened on screen, which is perfect for a quick show-and-tell a colleague can watch once. But video is not structured, searchable, diffable, or measurable. You cannot ask a video where time was lost or compare two runs without watching both end to end. Ledgerium captures the same work as structured steps with per-step timing, so the result is an SOP and a process map you can search, measure, and compare, and it records no screenshots at all. Screen recording fits explaining; workflow recording fits documenting and measuring. From Ledgerium recordings: A video forces a viewer to watch in real time to find anything. Ledgerium records each step as structured data with millisecond timing, so a reader can jump to a step, search the SOP, or diff two runs to see exactly where cycle time changed, none of which a video supports. - [Ledgerium vs Process Street: recorded work or hand-built checklists?](https://ledgerium.ai/compare/process-street): Process Street runs recurring checklists well once written. Ledgerium generates the SOP from real recorded work instead of authoring checklists by hand. Process Street and Ledgerium meet at documentation but start from opposite ends. Process Street is checklist and SOP software: once you author a checklist, it runs that recurring process well, with assignments, conditional logic, and tracking on every run. Ledgerium does not author checklists by hand. It records the real workflow as you perform it and generates the SOP and process map from what actually happened. If your priority is executing recurring checklists you maintain, Process Street fits. If your priority is producing an accurate SOP from real work without writing it from memory, Ledgerium fits. From Ledgerium recordings: Checklist software starts empty: someone authors every step from memory before the first run. Ledgerium starts from a recording, so the first SOP draft reflects the real workflow including the steps and system handoffs an author would forget to write down. - [Ledgerium vs Celonis: two points in the same process lifecycle](https://ledgerium.ai/compare/celonis): Celonis mines event logs from enterprise systems at scale. Ledgerium records the human, cross-system workflow those logs never see. See how they fit together. Celonis and Ledgerium both help you understand how work happens, but they sit at different points in the process lifecycle. Celonis is enterprise process mining: it reads the event logs your systems already produce and analyzes cases for conformance and bottlenecks at scale. Ledgerium records the human, cross-system workflow directly as structured steps with timing, capturing work that never lands in a system log. Ledgerium is not a Celonis replacement. It produces the clean, baselined evidence teams often lack before a mining project can even start. From Ledgerium recordings: Celonis needs an event log to reconstruct a process. When a workflow crosses several browser tools that never wrote those events, there is nothing to mine. Ledgerium records that same workflow as structured steps with millisecond timing, turning an unminable process into a documented, measurable one. - [Ledgerium vs UiPath: baseline the work before you automate it](https://ledgerium.ai/compare/uipath): UiPath runs software robots and agentic automation once a process is defined. Ledgerium records and baselines that process first. See where each one fits. UiPath and Ledgerium are often mentioned together but do opposite jobs. UiPath is an automation platform: its robots and agentic Maestro orchestration execute steps once a process is defined and stable. Ledgerium records the real workflow first, as structured steps with timing, so you can see what the process actually is and where the effort goes. Ledgerium does not run bots. It produces the documented, measured baseline that tells you which steps are worth automating and gives your automation team an accurate specification to build against. From Ledgerium recordings: Automating a badly understood process just makes the mess run faster. Ledgerium records each step with millisecond timing, so before a single robot is built you can see which steps consume the time and are worth automating, and which are exceptions a bot would break on. - [Ledgerium vs SAP Signavio: inside the ERP vs around it](https://ledgerium.ai/compare/sap-signavio): SAP Signavio analyzes variants and conformance from ERP transaction logs. Ledgerium records the manual steps around the ERP that the logs never capture. SAP Signavio and Ledgerium look at the same processes from different sides. Signavio is process intelligence built around the ERP: it reads transaction and event logs, then models variants and measures conformance against a target process at scale. Ledgerium records the human steps that happen around the ERP, the lookups, copy-paste, and cross-tab checks that never reach a transaction log. Ledgerium does not do variant or conformance mining. It captures the off-system reality that a log-based view is blind to, and turns one workflow into a documented, measurable SOP. From Ledgerium recordings: ERP logs record what happened inside the ERP, never the manual work around it. Ledgerium recordings routinely show a third or more of a workflow happening in other tabs, the exact off-system steps a Signavio variant model cannot see because they were never a transaction. - [Ledgerium vs Zapier: see the workflow before you wire it](https://ledgerium.ai/compare/zapier): Zapier wires apps together through API triggers and actions. Ledgerium records the human workflow first, so you know which handoffs are worth automating. Zapier and Ledgerium sit on opposite sides of automation. Zapier is iPaaS: it connects apps through API triggers and actions so a handoff between tools runs on its own. Ledgerium records the end-to-end human workflow as structured steps with timing, showing the full path a task takes across every system a person touches. Ledgerium does not connect apps or move data. It gives you the map of what actually happens, so you can see which handoffs are repetitive and worth wiring in Zapier and which are judgment steps that should stay human. From Ledgerium recordings: A Zapier zap automates one handoff, but people rarely know which handoffs in a workflow are the costly ones. Ledgerium records the whole path with timing across every tab, so the repetitive, time-consuming handoffs worth a zap are visible instead of guessed at.