How does Ledgerium help AI and automation teams?

It records a process and produces a map, timing, and a report that scores steps for repetition, volume, and how rule-based they are. You find where automation fits on measured evidence and keep a baseline to prove the result.

Why baseline a process before automating it?

Automating an undocumented process encodes its workarounds and waste. Recording the real workflow first shows what the process actually does, so you automate the right steps and have a baseline to measure the change against.

How does it rank automation candidates?

It scores each step of the recorded process for repetition, volume, and how rule-based it is. That ranks candidates by evidence rather than by which department asked the loudest.

Does Ledgerium build the automation?

No. It identifies and baselines the candidates and documents the real steps. Building the automation happens in your own tools, and Ledgerium then measures what changed by re-recording the process.

Can it prove the automation worked?

Yes. Re-record the process after the change and compare it to the baseline. The reduction in steps, time, or rework is concrete rather than asserted from anecdotes.

For AI and automation

Ledgerium AI for AI transformation teams

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.

Record your first workflow See how it works

A day in this role

AI and automation teams who need a measured process baseline to decide where AI or automation fits, and to prove what it changed afterward.

An automation lead has a backlog of process candidates and a roadmap built mostly on which department asked the loudest. The most-requested process turns out to be full of judgment calls that resist automation, while a quieter, high-volume task would have paid off faster. There is no baseline on either, so even after a build ships, proving it saved time comes down to anecdotes.

Pain points

Automation gets pointed at the loudest process, not the best candidate
Automating an undocumented process bakes in the workarounds and waste
No baseline to prove the automation actually improved anything
Picking candidates relies on opinion rather than measured evidence

What this role usually searches for

How to identify AI automation opportunities
How to baseline a workflow
How to find process waste
How to document a process before automating

See this in a real workflow recording

Jobs to be done

Baseline a process from real work before automating it
Rank automation candidates by measured evidence
Document the real steps so automation does not encode the workarounds
Measure what the automation changed against the baseline

Workflows this role needs to document

Invoice and approval processing
High-volume data entry and lookups
Lead qualification and routing
Ticket triage and resolution

How Ledgerium helps

Record the candidate processes as they run today. Ledgerium produces a process map, timing, and a report that scores each step for repetition, volume, and how rule-based it is. You rank candidates on measured evidence, document the real steps so the automation does not encode the workarounds, and keep the baseline to show exactly what the automation changed after it ships.

How Ledgerium captures this

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 identifies and baselines automation candidates from observed work. It does not build the automation, and steps in desktop-only software are not observed directly.

Frequently asked questions

: It records a process and produces a map, timing, and a report that scores steps for repetition, volume, and how rule-based they are. You find where automation fits on measured evidence and keep a baseline to prove the result.
: Automating an undocumented process encodes its workarounds and waste. Recording the real workflow first shows what the process actually does, so you automate the right steps and have a baseline to measure the change against.
: It scores each step of the recorded process for repetition, volume, and how rule-based it is. That ranks candidates by evidence rather than by which department asked the loudest.
: No. It identifies and baselines the candidates and documents the real steps. Building the automation happens in your own tools, and Ledgerium then measures what changed by re-recording the process.
: Yes. Re-record the process after the change and compare it to the baseline. The reduction in steps, time, or rework is concrete rather than asserted from anecdotes.

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.