Smarter Data Entry for Clearout Teams
Turn Data Entry into a background job. DeskFerry agents use Clearout to execute on your behalf, 24/7.
47 PDFs processed today. Latest entry:
Meeting notes
- • Vendor: Riverline Co. · Term: 12 months from Apr 1.
- • Total contract value: $42,000 net 30.
- • Signed by: Theo Park (CEO, Riverline) + Daniel R. (DeskFerry).
How does Clearout work for Data Entry automation?
Clearout works for Data Entry automation by powering a DeskFerry agent that runs the workflow end-to-end inside your existing tools — no code, no custom build.
- 01
Trigger fires
The agent connects to Clearout alongside the other apps your team already uses, watches for the triggers that matter for Data Entry, and takes the next step on its own while keeping a complete audit trail for review.
- 02
Read every PDF that lands in our AP @Drive folder
AI extracts, validates, and enters data from documents, emails, and forms automatically.
- 03
Extract the structured fields
Teams typically see high across mixed document formats once the agent is in production.
- 04
Append a row to @Sheets
You stay in control: every action is logged, confidence thresholds are configurable, and anything ambiguous is queued for a human instead of being silently auto-completed.
- 05
You approve
Anything under your confidence bar waits for a human.
How you tell it what to do
Built in plain English.
You write the rule the way you'd describe it to a teammate. The agent reads the rule, breaks it into the actions it'll take, and confirms the apps it'll touch — before it does anything.
- 1Read every PDF that lands in our AP @Drive folder
- 2Extract the structured fields
- 3Append a row to @Sheets
How it connects
Connect Clearout. The agent does the rest.
Claude and ChatGPT are already running on our side. You connect Clearout with one click, and data entry runs inside it.
Claude and ChatGPT run on our keys. Nothing for you to configure.
- ClearoutConnect
- Google DriveConnect
- Google SheetsConnect
Runs on your data, in your apps.
Nothing to deploy. Nothing to maintain.
Actions
What Clearout + DeskFerry can do
Real Clearout actions your AI agent can perform automatically — no manual work required.
Create issues from alerts
Automatically open issues in Clearout when monitoring systems detect errors, outages, or performance regressions.
Manage pull requests
Post review reminders, enforce labeling conventions, and auto-merge approved pull requests in Clearout.
Trigger CI/CD pipelines
Kick off build and deployment pipelines in Clearout when code is pushed or a pull request is merged.
Track release milestones
Update milestone progress in Clearout as issues are closed and pull requests are merged toward a release.
Sync project boards
Keep issue status and priority in Clearout aligned with your project management tool in real-time.
Generate changelogs
Compile merged pull requests and closed issues from Clearout into formatted release notes automatically.
Assign reviewers automatically
Route new pull requests in Clearout to the appropriate code reviewers based on file ownership and team rules.
Monitor repository activity
Watch for commits, branch creations, and tag events in Clearout and notify the team of significant changes.
Vendor: Riverline Co. · Term: 12 months from Apr 1.
Fields extracted and validated; assignee notified in Slack.
Held for review — one value fell under your confidence bar.
Human in the loop
Approve before it sends.
Every draft lands in a review queue. You approve, edit, or reject — the agent never acts on its own unless you explicitly turn that on for a workflow you trust.
Governance
Every action, with the reasoning attached.
Each step the agent takes is logged with what it did, why it did it, and which app it touched. Audit-ready, so security and compliance can sign off without backfilling.
- Agent2:47 PM
Updated Sheets · Vendor agreements with the result.
- Agent2:46 PM
Applied your rule and recorded the result.
Reason: All required fields matched with high confidence.
- Agent2:45 PM
Wrote the record for PDF · Vendor agreement · Riverline.pdf.
- Agent2:44 PM
Read the transcript and extracted action items.
- Agent2:30 PM
Triggered by call end event in Granola.
How it works
Get started in three steps
Step 01
Connect Clearout
Authorize Clearout and DeskFerry hooks into your issues, repos, and deployment pipelines.
Step 02
Configure Dev Workflows
Define triggers for Clearout events — new issues, PR merges, build failures — and the AI actions to take.
Step 03
Ship Faster with Less Toil
AI automates the tedious parts of your Clearout workflow. Track issues triaged, alerts handled, and developer time saved.
Start automating Data Entry for Clearout
7-day free trial. Works with the tools you already use.
FAQ
Frequently asked questions
How does DeskFerry automate Data Entry directly inside Clearout?
DeskFerry connects natively with Clearout to handle the full Data Entry workflow. The AI agent monitors Clearout events, processes Data Entry tasks automatically, and writes results back to Clearout — no copy-pasting or tab-switching required.
How does Data Entry automation scale with increased Clearout volume?
The Data Entry agent scales automatically as your Clearout activity grows. Whether you process 10 or 10,000 Data Entry tasks per day from Clearout, the AI handles the volume without slowdowns or additional configuration.
Can I run multiple Data Entry workflows with different Clearout triggers?
Yes. You can create parallel Data Entry workflows that respond to different Clearout events or conditions. For example, one Data Entry flow for new Clearout records and another for updated ones — each with independent rules and actions.
Can the Clearout Data Entry agent also work with other tools in my stack?
Yes. The Data Entry agent connected to Clearout simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single Data Entry workflow can pull data from Clearout, process it, and push results to multiple destinations.
What document formats can the Data Entry agent process for Clearout?
The agent reads PDFs, scanned images, emails, spreadsheets, and structured forms — extracting data fields and writing them to your systems. Even handwritten forms common in clearout (intake, work orders, inspection reports) are processed accurately.
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