Why Ledgerium exists

Most process documentation is aspirational.We think it should be evidence-based.

SOPs written from memory. Process maps drawn in workshops. Training docs that describe the ideal, not the reality. Every organization has this problem. Most don't know how big the gap is.

The documentation gap

Every organization runs on workflows — onboarding customers, processing claims, configuring systems, closing sales. These workflows are repeated thousands of times, but rarely captured accurately.

The documented version says 5 steps. The reality involves 17, including 3 workarounds, 2 undocumented approvals, and a spreadsheet nobody talks about. The gap between documentation and reality grows every quarter.

Now organizations are deploying AI and automation into these workflows — without ever observing what actually happens. They are automating processes they have never measured, scaling inefficiencies they have never seen.

You can't improve what you can't see. You can't automate what you don't understand.

Principles

Observation over opinion

Workflows should be captured from what people do, not what they say they do. If it wasn't observed, it doesn't belong in the SOP.

Evidence over interpretation

Every step, every instruction, every metric traces back to an observed event. No AI rewrites. No made-up content. No hallucination.

Determinism over magic

The same recording always produces the same output. Reproducibility is the foundation of trust. If you can't explain it, you can't trust it.

Capture before automation

Before you automate a process, observe it. Before you optimize, get a baseline. Before you train someone, capture what the expert actually does.

Structure over raw data

A recording is useful only if it produces something actionable — SOPs, process maps, reports, searchable libraries. Data without structure is noise.

Privacy is non-negotiable

Sensitive values are redacted automatically. No screenshots, no video, no keystroke logging. Users see and control everything that gets captured.

How it works

You install a Chrome extension and record a workflow by doing your normal work. The extension captures interaction events — clicks, form entries, navigation, system feedback — as structured data.

A deterministic engine segments the events into meaningful workflow steps, each with timing, confidence scores, and evidence linkage. From these steps, it generates SOPs with event-level instructions, visual process maps with phases and transitions, and structured reports.

Everything is saved to a persistent workflow library you can search, filter, export, and return to. The same recording always produces the same output. Evidence in, structured intelligence out.

See what your real workflows look like

Record a workflow. Review the structured output. Decide if evidence-based process capture is what your team needs.