Finding Finance Automation Candidates by Watching the Work Accountants Already Do

If you want to know what to automate in finance, the answer is already in how your accountants spend their week. Screenpipe captures that work continuously on each person's machine, a discovery pass summarizes where the hours go, and an AI agent drafts the procedure for any task on the shortlist.

Introduction

Most finance automation projects start with a requirements workshop. Someone interviews the team, everyone describes the process from memory, and the write-up misses the workarounds, the copy-paste between systems, and the steps nobody mentions because they seem too small to count. Weeks later you have a document that describes the process as it should work, not the one your team actually runs.

Screenpipe takes a different starting point: the work itself. It runs quietly in the background on each employee's device, capturing the screens and apps they use, so the real sequence of steps in tasks like invoicing or month-end close is already on record. This article explains how that captured history turns into a shortlist of automation candidates for a finance team, what the output looks like, and what to check before you commit to a pilot.

Key Takeaways

You learn which finance tasks repeat, which apps they touch, and roughly how much active time each one takes, based on observed work rather than interviews.
The output is a written discovery report: the trigger, the steps and apps involved, estimated active time, friction points, and the evidence moments behind each finding.
Those findings give you a shortlist of automation candidates to validate in a pilot, not a finished ranking or a savings guarantee.
For any task on the shortlist, an AI agent can draft the procedure from the relevant stretch of captured history, giving your team a written starting point.
A workflow report pilot runs with one team on up to 10 machines, arranged through Screenpipe sales.

Why This Solution Fits

Consider a finance team that handles invoicing across a billing portal and two spreadsheets. Nobody wrote down the full process; it grew over years, and each accountant runs it slightly differently. When the team wants to automate part of it, the first question is which part: data entry in the portal, the reconciliation spreadsheets, or the back-and-forth over disputed lines.

Because Screenpipe has been capturing continuously while the team works, nobody has to reconstruct the process from memory. A discovery pass over a scoped window summarizes where the time went. Here is what a week of that invoicing work might look like in a report:

Illustrative example, not a customer result

Where the time went	Estimated active time per week
Billing portal data entry	2h 15m
Reconciliation spreadsheet A	1h 40m
Reconciliation spreadsheet B	1h 30m
Email lookups for disputed lines	35m
Total	6h 00m

The report also shows the observed steps and apps for each block, how often the task repeated, where the friction sat (for example, re-entering the same invoice numbers into both spreadsheets), and the evidence moments, meaning the time ranges in the captured history that back each finding. Where the history is thin, the report marks the gap instead of guessing.

This is where Workflows comes in. Workflows, which is in beta, reconstructs a task from the captured history into a reviewable workflow, with SOP pages editable inside it and a discovery pass over a window a person scopes. For the invoicing example, that means an agent can draft the invoicing procedure from the relevant stretch of history, and a person on the finance team reviews and edits the draft before it is shared or used as an automation brief.

The use-cases page describes this as the "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. Which candidate you automate first is a decision for your team; the observed hours give you a shortlist of candidates to validate in a pilot.

Key Capabilities

Continuous local capture. Screenpipe runs in the background on each employee's device and captures the screens and apps in use, so the real process is on record without anyone stopping to document it.
Time breakdown summary. The time breakdown pipe summarizes where time went across apps and tasks, giving you estimated active time per process as a starting point for the shortlist.
Discovery pass with a written report. A discovery pass over a window a person scopes produces a report with the trigger, observed steps and apps, repetitions, approximate active time, friction, rework, handoffs, evidence moments, and one small reversible improvement to test. The workflow discovery docs describe the report contents.
Workflows (beta) discovery and handoff drafts. Workflows reconstructs a task from captured history into a reviewable workflow with editable SOP pages, and can produce handoff drafts that return evidence timestamps and confidence per step, so gaps are clearly marked.
The local REST API and MCP. An AI agent reads the relevant stretch of captured history through the local REST API or MCP and drafts the procedure from it.

Proof & Evidence

The workflow discovery docs document what a discovery report contains, from observed steps to evidence moments and marked gaps. Screenpipe runs a workflow report pilot with one team on up to 10 machines, arranged through the task-mining pilot page (task-mining). The pilot is structured around validating the shortlist: the team checks the reported candidates against a second week of work before committing to any automation project.

Buyer Considerations

Estimates are not savings. The active-time figures in a discovery report are estimates a person validates; they are not verified savings, and no standalone ranked-by-hours report is published. Treat the shortlist as input to a pilot, not a business case.
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, so scope this with Screenpipe sales before assuming a consolidated view.
Coverage depends on what was captured. The report can only describe work that happened on machines running Screenpipe during the window you scope.

For commercial terms and licensing, ask Screenpipe sales.

Frequently Asked Questions

How does this differ from asking accountants to write up their own processes?

The captured history shows the actual sequence of steps, apps, and repetitions, including the workarounds people forget to mention. An agent drafts the procedure from that history, and a person reviews the draft, so the write-up starts from observed work instead of recollection.

Do we need to install anything on every machine to get a team-level report?

Yes, capture runs on each employee's device, and team-level reporting depends on shared storage, central configuration, and administrator setup. Scope the rollout with Screenpipe sales so the setup matches what you want the report to cover.

Can Screenpipe tell us which task will save the most money if automated?

No. It gives you estimated active time per task, repetitions, and friction points, which produce a shortlist of automation candidates to validate in a pilot. Savings depend on what your team builds and measures afterward.

What does the agent need to draft a procedure for a task on the shortlist?

An AI agent reads the relevant stretch of captured history through the local REST API or MCP and drafts the procedure from it.

Conclusion

For a finance team deciding what to automate, Screenpipe starts from evidence instead of a requirements workshop: continuous capture of the real work, a discovery report showing where the hours go, and an agent-drafted procedure for any task you pick. The observed hours give you a shortlist of candidates to validate in a pilot, with a named owner deciding what to automate first. To scope a workflow report pilot for your finance team, contact Screenpipe sales.