The Tool Process Consultants Use to Capture How a Client's Team Does a Task

Documenting a client's process for automation starts with a record of how the work actually happens across their apps. Screenpipe keeps a continuous, local record of that work history across apps, an AI agent drafts the procedure from the relevant stretch of it, so you can see which steps are worth automating.

Introduction

Interviews and screen recordings put the burden of recall on the employee. You schedule a session, ask someone to walk through the task, and take notes while they narrate. The steps that matter most for automation, like the copy-paste handoff between a helpdesk and a payments panel, are the ones people skip when they describe their own work.

Screenpipe works from the other direction. It runs on the employee's machine and captures screen activity, audio transcription, and accessibility metadata across applications while real work happens. When you need to document a task, the history is already there: you select the relevant stretch and an AI agent drafts the procedure from it. Screenpipe describes an engagement model for consultants on its consultants page.

Key Takeaways

• Capture runs continuously and locally across apps, so documenting a task does not require scheduling interviews or asking anyone to record their screen on purpose.
• An AI agent drafts the SOP and an automation brief from a stretch of captured history, with evidence timestamps and marked gaps per step.
• A discovery pass reconstructs a task from captured history into an editable workflow, scoped to a concrete boundary a person sets.
• Discovery time figures are estimates from a small observed sample, so treat them as a shortlist of candidates to validate in a pilot.

Why This Solution Fits

Take a concrete engagement. A consultant's Screenpipe has been capturing while a client's support employee processed one real refund across a helpdesk, a payments admin panel, and a spreadsheet. Nobody started a recording for the exercise. The consultant selects that stretch of history and has an AI agent draft the SOP from it.

The draft reflects real work rather than a demonstration. It includes the steps people skip when narrating: the tab they switch to, the value they copy from the spreadsheet, the exception they handle by email.

The draft comes back with its evidence attached. Per step, the handoff draft lists the observed action, an evidence timestamp, a confidence level, and items the operator must confirm. Unobserved details, such as hidden clicks or whether a submission succeeded, are marked as gaps rather than inferred. That gives you available evidence and clearly marked gaps to bring to the client's subject matter expert.

Illustrative example, not a customer result. A handoff draft for the refund task might read:

The same history supports the automation question. Screenpipe offers a workflow report pilot for one team on up to 10 machines, requested through Screenpipe 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. The observed hours give you a shortlist of candidates to validate in a pilot, not a verified ranking.

Where an automation brief is the goal, the workflow-handoff docs describe a first experiment that checks an approval and drafts a checklist, and the brief excludes submitting forms, changing customer records, and sending messages. If an agent will write to a CRM or ERP, the approval path (a read-only agent, an approval queue, a person who approves or rejects, and a separate executor holding write credentials) is something the customer builds into the integration. That path only works if the integration is built that way, and the approver can only judge what the queue shows.

Key Capabilities

• Continuous local capture of screen OCR, audio transcription, and accessibility metadata across apps while Screenpipe is running, subject to the apps and windows a user or admin excludes.
• An AI agent drafts the SOP and an automation brief from a stretch of captured history through chat, the local REST API, or MCP.
• Workflows is in beta: in the Screenpipe app, it reconstructs how a task was done from captured history into an editable workflow, with SOP pages editable inside it, and a discovery pass scoped to a concrete boundary such as two or three repetitions of a task in a time window.

Proof & Evidence

The workflow-handoff docs describe the draft format in detail, including the evidence timestamps, confidence levels, and marked gaps shown in the sample above. The draft is considered ready when a colleague can follow it and verify the result without guessing. For discovery passes, the workflow discovery docs describe how repetition counts and active time are estimated from a small observed sample.

Buyer Considerations

• A person reviews and edits every draft the agent produces. The SOP is a draft the client's team owns and maintains, not a finished document.
• When the process changes, a named process owner re-captures and re-drafts. The owner usually learns a process changed from the people who run it, then runs the drafting step again.
• Screenpipe is source-available under the Screenpipe Commercial License: personal, non-commercial use is free, and commercial use requires a license, so your client needs its own license to keep capture running after your engagement. Ask Screenpipe sales about commercial terms.
• 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.

Frequently Asked Questions

Does someone have to narrate their work out loud for this to work?

No. Screenpipe captures screenshots and compresses them into video, so AI tools can interpret what changed on screen without anyone describing it, alongside audio transcription and accessibility metadata.

How does the consultant get the draft?

Through chat in the app, the local REST API, or an MCP-connected agent. The agent reads the relevant stretch of captured history and returns a step-by-step SOP and an automation brief.

Can Screenpipe tell me which task to automate first?

The time breakdown pipe and discovery reports summarize where time went and estimate frequency and active time from a small observed sample. Treat the results as a shortlist of candidates, then validate the top candidates in a pilot before committing to a build.

What is Workflows?

Workflows is in beta. In the Screenpipe app, it reconstructs how a task was done from captured history into an editable workflow, with SOP pages inside it and a discovery pass scoped to a concrete boundary.

Conclusion

For process consultants, Screenpipe shortens the interview-and-screenshot loop: continuous local capture, an agent-drafted procedure built from real work history, and a named owner on the client side. The observed hours give you a shortlist of automation candidates to validate in a pilot, and the client's named process owner keeps the documentation alive after you leave. To scope an engagement or the workflow report pilot, contact Screenpipe sales.

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