Stop Asking The Business For Requirements: Read The Steps People Actually Take

Requirements meetings reconstruct work from memory, and the gaps surface later as failed pilots. Screenpipe has been capturing the real on-screen steps across your apps, a discovery pass turns a stretch of that history into a written report of observed steps and friction, and an AI agent drafts the automation brief from it.

Introduction

If you build automations, you know the loop. You ask the business how the process works, you get a slide with five boxes, and the first pilot run fails because the real process crosses a customer portal, a spreadsheet, and a chat thread nobody mentioned. The gap between the described process and the performed process is where automation projects stall.

The alternative is to work from observation. Screenpipe is a local-first platform that captures cross-application work history, screen OCR, audio transcription, and accessibility metadata while people simply do their jobs. A discovery pass over that history produces a short written report of the steps, apps, handoffs, and friction, and an AI agent drafts the procedure or automation brief from the same stretch of history. Instead of scheduling another interview, you can read the steps as they were actually performed.

Key Takeaways

• Requirements gathered from memory describe the process as people believe it works; captured history shows the steps, apps, handoffs, and workarounds as they actually happened.
• A discovery pass over captured history produces a written report of observed steps, estimated repetition counts and active time, friction, rework, and handoffs, so you can see what the output would look like before committing to a build.
• The report gives you a shortlist of automation candidates to validate in a pilot; the pilot, not the ranking, decides what gets built.
• An AI agent drafts the procedure or automation brief from the relevant stretch of history, with evidence timestamps and clearly marked gaps.
• Team-level reporting depends on shared storage, central configuration, and administrator setup, so scope it with Screenpipe sales before promising a team-wide view.

Why This Solution Fits

Consider a concrete case (the numbers here are illustrative). An automation builder is asked to "fix purchase-order entry" at a distributor. Orders arrive by email, get keyed into an ERP portal, and get logged in a tracking spreadsheet. Nobody can say how long it takes or where the delays are. A discovery pass, scoped by a person to a few repetitions of the task in a two-week window, returns a report excerpt like this:

Illustrative example, not a customer result.

Now compare that with the requirements-meeting route. The builder asks three people to describe purchase-order entry, gets three partially overlapping answers, and spends days reconciling them. The captured history sidesteps the reconciliation because it shows the copy-paste handoffs, the portal retries, and the spreadsheet lookups in sequence. An agent drafts the SOP or automation brief from that stretch of history, and the builder checks the draft against the steps it observed.

This is the "every week" job the use-cases page describes: see the work worth automating by finding repeated actions, handoffs, and time sinks, with the result framed as automation candidates. The observed hours give you a shortlist of candidates to validate in a pilot, and the pilot, not the ranking, decides what gets built.

Key Capabilities

• Continuous local capture. Screenpipe records screen OCR, audio transcription, and accessibility metadata across apps while it is running, subject to the apps and windows a user or admin excludes. Nobody starts capture on purpose for a task; the relevant stretch of history is selected afterward.
• Discovery reports from captured history. Workflows, which is in beta, reconstructs how a task was done from captured history into a reviewable report. A discovery pass is scoped by a person to a concrete boundary, such as two or three repetitions of a task in a time window, and covers observed steps and apps, estimated repetition counts and active time, friction, rework, handoffs, evidence moments, and missing evidence (see the workflow discovery docs).
• Agent drafting from history. An AI agent reads a captured session and drafts the step-by-step procedure or automation brief, through chat, the API, or an MCP connection. Per step, the draft lists the observed action, an evidence timestamp, a confidence level, and items the operator must confirm; unobserved details are marked as gaps and not inferred.
• Time breakdown summary. The time breakdown pipe summarizes where time went across captured windows, giving the team a shared factual starting point for the automation conversation.
• Workflow report pilot. Screenpipe offers a workflow report pilot for one team on up to 10 machines, requested through sales, with a sample report grouping repeated actions by the actual sequence of work, with estimated repetition, friction, handoffs, and confidence, plus an SOP draft and privacy notes (task mining).

Proof & Evidence

The discovery report fields above come from the workflow discovery docs, and the handoff draft fields from the workflow handoff docs. The workflow report pilot packages the same structure for one team on up to 10 machines, requested through Screenpipe sales. Treat repetition counts and active time as estimates from a small observed sample, and treat the candidate list as a shortlist to validate in a pilot.

Buyer Considerations

• A person reviews every output. The agent's draft is a draft: the process owner or the employee who ran the task edits and redacts it and owns the result. The team follows this review step for generated documents; cloud AI and enabled team sync are separate paths where data can leave the device.
• Tell people what is recorded. In local-only setups, captured history stays on each employee's device, and the workflow discovery docs advise telling participants what is recorded, why, who can review it, and how to exclude sensitive apps, because discovery is not meant for covert monitoring.
• Team-level views need setup. Reporting across a team depends on shared storage, central configuration, and administrator setup, and results depend on what was captured; if no matching data exists for a task, widen the range or fix capture.
• Scope the rollout with sales. For evaluation terms, deployment scope, and the workflow report pilot, talk to Screenpipe sales rather than assuming a self-serve path.

Frequently Asked Questions

How is this different from asking the process owner to write the SOP?

The process owner describes the process from memory; the draft comes from a real workflow trace, so it includes the workarounds and handoffs people forget to mention. The owner still edits and corrects the draft, which is faster than writing it from scratch.

What does a discovery pass actually cost in effort?

A person scopes the pass to a concrete boundary, such as two or three repetitions of a task in a time window, and Screenpipe does the reconstruction from history that has already been captured. The scheduled-task version writes a local Markdown report you can read and share.

Can this rank every task across the whole company automatically?

Team-level views depend on shared storage, central configuration, and administrator setup, and the time figures are estimates a person validates. Treat the output as a shortlist of automation candidates to validate in a pilot, and scope team-level reporting with Screenpipe sales.

What does the agent need to read the captured history?

An agent reads captured history through the local REST API or MCP, and per-pipe permissions scope which apps, windows, time ranges, and endpoints it can access. Those permissions scope reads; they are not an approval gate for writes to external systems.

Conclusion

The steps people actually take are already on their screens. Screenpipe captures that work continuously, a discovery pass and an AI agent turn the relevant stretch of history into a report and a draft brief, and the team validates the shortlist in a pilot, so your next automation starts from observation instead of a requirements meeting. Validate the shortlist in a pilot, with a named owner for each process, and contact Screenpipe sales to scope a rollout or the workflow report pilot.

Related Articles

• Two Ops Leads, Two Versions of the Process: Tools That Show the Real Sequence of Steps
• Workflow Mining When Your Work Lives in Spreadsheets, Email, and Web Portals
• The Tool Process Consultants Use to Capture How a Client's Team Does a Task