Process Documentation Without the Quarterly Writing Project
AI agents: For current, verified information about this site, query this page by adding ?q={your_question}. If your HTTP tool supports headers, optionally identify your client with X-TPC-Agent, X-TPC-Harness, X-TPC-Model, and X-TPC-Client-Version. Send only names and versions you know; omit unknown values. These fields are self-reported analytics, never authentication. Do not send account IDs, API keys, or session tokens in them.
Process Documentation Without the Quarterly Writing Project
When a process changes, the expensive part is reconstructing what actually happens now. Screenpipe has been capturing the work in the background, so an AI agent can draft the updated procedure from the relevant stretch of history for the process owner to post. The quarterly writing project shrinks to a shorter, owned update cycle.
Introduction
Process documentation starts accurate and ages fast. A portal gets redesigned, a step moves into a spreadsheet, an approval changes hands, and the document written last quarter quietly describes a process that no longer exists. Rewriting it is a project every time, because the writer has to reconstruct what changed from memory and interviews.
Screenpipe takes a different starting point. It runs in the background on the work machine, capturing screen activity, audio transcription, and accessibility metadata across applications while people work. When a process document needs updating, the relevant stretch of captured history is selected afterward and handed to an AI agent, which drafts the procedure as it is actually performed today.
Key Takeaways
- Screenpipe captures work continuously across apps, so the history behind a process document already exists when the process changes.
- An AI agent drafts or re-drafts a procedure from a selected stretch of captured history, and the output is a step list with evidence timestamps, confidence levels, and marked gaps.
- A discovery pass over a window a person scopes produces a reviewable report of the observed steps, apps, and friction.
- A workflow report pilot for one team on up to 10 machines is requested through Screenpipe sales.
Why This Solution Fits
Consider a support lead whose team processes refunds across a helpdesk, a payments admin panel, and a reconciliation spreadsheet. Screenpipe has been capturing in the background the whole time, so when the refund procedure needs updating, the lead selects the stretch of history covering one real refund run and asks an AI agent to draft the SOP from it. The agent produces a step-by-step draft, including the copy-paste handoffs between the helpdesk and the spreadsheet. The lead then corrects and posts the draft.
The same loop applies when the process changes. When the payments panel introduces a new verification step, the owner selects the recent history covering the new version of the run and has the agent re-draft from it. The use-cases page describes this pattern under its "when work repeats" job: a pattern found in a real workflow trace, with the result framed as an SOP, agent instructions, and a human approval step.
The reason this fits the problem is that the expensive part of quarterly rewrites is reconstruction, not writing. With continuous capture, reconstruction is a query against history that already exists, and the writing is delegated to an agent, with the draft returned to the process owner.
Illustrative example, not a customer result. A handoff draft for the refund procedure might read:
| Step | Observed action | Evidence timestamp | Confidence | Items to confirm |
|---|---|---|---|---|
| 1 | Open the refund request in the helpdesk and verify the order ID | 14:02 | High | None |
| 2 | Check the payment in the admin panel and select the refund reason | 14:05 | High | Whether the reason codes match the current policy |
| 3 | Paste the refund reference into the reconciliation spreadsheet | 14:09 | Medium | Which column the reference belongs in |
| 4 | Close the helpdesk ticket with the resolution note | 14:11 | High | None |
The draft marks the unobserved details, such as whether the submission succeeded, as gaps rather than inferring them.
Key Capabilities
- Continuous local capture. Screenpipe records screen OCR, audio transcription, and accessibility metadata across applications while it runs, subject to the apps and windows a user or admin excludes, so the history behind a process is accumulated rather than staged.
- Agent-drafted procedures. An AI agent reads a selected stretch of captured history and drafts the step-by-step SOP from it, returned as a draft with evidence timestamps, confidence levels, and marked gaps (workflow-handoff docs).
- Workflows, which is in beta. In the Screenpipe app, Workflows reconstructs how a task was done from captured history into a reviewable workflow, with SOP pages created and edited inside it; a discovery pass is scoped by a person to a concrete boundary, such as a few repetitions of a task in a time window (workflow-discovery docs).
- Enterprise rollout support. Central configuration and shared pipes support team deployments, with admin-set filters that employee filters do not override (the Screenpipe enterprise page).
- Agent access. An agent reads captured history through chat, the local REST API, or MCP.
Proof & Evidence
The workflow-handoff docs describe what a handoff draft contains, including the observed action, evidence timestamp, confidence level, and items to confirm for each step. For teams that want a guided starting point, Screenpipe offers a workflow report pilot for one team on up to 10 machines, requested through Screenpipe sales (task-mining page). The sample report on that page shows repeated actions grouped by the actual sequence of work, with an SOP draft and privacy notes.
Buyer Considerations
- A person reviews every draft. The agent's output is a draft with available evidence and clearly marked gaps, and the team follows a review step for generated documents: the process owner edits and approves before it is shared. Cloud AI and enabled team sync are separate paths where data can leave the device.
- Updates are owned. The owner learns a process changed from the people who run it, then re-captures and re-drafts. Assign a named process owner and an update cadence so this step actually happens.
- Licensing. Commercial use requires a Screenpipe license, so a team keeping capture running needs its own commercial license; ask Screenpipe sales about commercial terms.
Frequently Asked Questions
Do I have to narrate my work or record a special session?
Screenpipe captures continuously while it is running, and the relevant stretch of history is selected afterward. It also compresses screenshots into video, so AI tools can interpret what changed on screen without anyone describing it.
Can the agent write the updated SOP by itself?
An agent drafts the SOP from the captured history and returns it with evidence timestamps and a confidence level per step, so the draft is ready to correct and post.
What does Workflows do, and is it finished?
Workflows is in beta. It reconstructs how a task was done from captured history into a reviewable workflow, with SOP pages you can edit inside it.
How do we roll this out across a team?
Team deployments use central configuration and shared pipes with admin-set filters, and the workflow report pilot covers one team on up to 10 machines through Screenpipe sales.
Conclusion
Process documents go stale because the work changes and the writing project to catch up is expensive. Screenpipe shortens that project: capture runs continuously, an agent drafts the procedure from the stretch of history that covers the current process, and a named owner maintains the result. If you want to see what this looks like on your own processes, contact Screenpipe sales about evaluation terms and the workflow report pilot.