How does Ledgerium help shared services leaders?

It records real runs of your high-volume workflows and generates an SOP, a process map, and timing with the variation between agents and business units. You get an evidence-based standard, the step behind SLA misses, and clear automation candidates.

Can it standardize a process across several business units?

Yes. Recording how each unit runs the same process shows exactly where they diverge, so you can build one standard from the strongest run and re-record to confirm every unit converged.

Will it help me hit SLAs?

The report separates work time from wait time and rework, so an SLA miss traces to the specific step that stalled rather than a whole-queue average, which is where the fastest recovery is.

How do I find what to automate at volume?

Ledgerium scores repetitive, high-volume, rule-based steps from the recorded process, so you rank automation candidates by real evidence rather than by which queue complained loudest.

Does it capture desktop or paper steps?

It documents browser-based work. Steps in a native desktop application or on paper still need an agent to add context, but the system steps and handoffs at volume are captured automatically.

For shared services

Ledgerium AI for shared services leaders

By Ledgerium Research TeamUpdated July 2026How we research this

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.

Record your first workflow See how it works

Key takeaways

Shared services leaders run the same workflow at high volume across many business units, so a small per-run inconsistency multiplies into significant rework and missed SLAs.
Each business unit tends to run the shared process a little differently, and recording several runs turns that variation into a number a leader can standardize against.
Ledgerium separates work time from wait time and rework at volume, so throughput bottlenecks show up as the specific steps that stall rather than a whole-queue average.
Repetitive, high-volume steps are the strongest automation candidates in a shared services center, and Ledgerium scores them from the recorded process.
A recorded process is a measurable baseline, so re-recording after a standardization push shows whether every business unit actually converged on the same motion.

A day in this role

Shared services and global business services leaders who run high-volume, repeatable operations for multiple business units and are accountable for SLAs, throughput, and consistency.

A shared services leader reviews an SLA miss and finds two business units run the same reconciliation completely differently, so a fix that works for one breaks for the other. The center processes the task hundreds of times a month, but the only record of how each unit does it is agent habit. Everyone agrees the process varies, nobody can put a number on it, and the standard rolled out last quarter has already drifted at high volume.

Pain points

The same process runs differently across business units and agents
High volume turns a small inconsistency into significant rework
SLA dashboards show misses but not which step caused them
Repetitive work is a clear automation target nobody has scored

What this role usually searches for

How to standardize workflows across business units
How to document a high-volume process
How to find process waste
How to baseline a workflow

See this in a real workflow recording

Jobs to be done

Document the real high-volume process across every business unit
Standardize the motion so each unit runs it the same way
Find the step causing SLA misses and rework
Rank the repetitive steps worth automating

Workflows this role needs to document

Invoice and payment processing at volume
Employee data changes and onboarding requests
Account reconciliations and close tasks
Vendor and customer master-data maintenance

How Ledgerium helps

Record the process from several real runs across the business units you serve. Ledgerium produces an SOP, a process map, and timing with the variation between agents and units. You standardize the motion on evidence, target the specific step behind SLA misses and rework, keep a baseline for every improvement, and rank the repetitive steps worth automating in a high-volume queue.

How Ledgerium captures this

Ledgerium captures a shared services operation by recording several real runs of a high-volume workflow across agents and business units, so the process map quantifies the variation and throughput a center runs on instead of an SLA dashboard summary.

1. Install the extension

Add the Ledgerium recorder to Chrome. No screenshots and no keystrokes are ever captured.

2. Record the real workflow

Perform the process once. Ledgerium captures the structured steps, timing, and system context.

3. Get the output

Receive an SOP, a process map, and a workflow intelligence report generated from the real work.

Worth knowing

Ledgerium documents browser-based work. High-volume steps that run in a native desktop application or on paper still need an agent to record the context.

Frequently asked questions

: It records real runs of your high-volume workflows and generates an SOP, a process map, and timing with the variation between agents and business units. You get an evidence-based standard, the step behind SLA misses, and clear automation candidates.
: Yes. Recording how each unit runs the same process shows exactly where they diverge, so you can build one standard from the strongest run and re-record to confirm every unit converged.
: The report separates work time from wait time and rework, so an SLA miss traces to the specific step that stalled rather than a whole-queue average, which is where the fastest recovery is.
: Ledgerium scores repetitive, high-volume, rule-based steps from the recorded process, so you rank automation candidates by real evidence rather than by which queue complained loudest.
: It documents browser-based work. Steps in a native desktop application or on paper still need an agent to add context, but the system steps and handoffs at volume are captured automatically.

Document your team's real workflows

Record a workflow once and turn it into an SOP, a process map, and an improvement report, generated from how the work actually happens.

Start free See how it works

Free plan includes 5 documented workflows per month. No screenshots ever captured.