Run Data Entry on awork — AI Agent
Already on awork? Add an Arahi AI agent for Data Entry and save hours every week without writing code.
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. (Arahi).
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 the meeting transcript end-to-end
- 2Extract decisions, commitments, and next steps
- 3Update the deal record and advance the stage if criteria met
- 4Notify the right teammate with the relevant context
Get started in three steps
Connect awork
Link awork to Arahi AI in one click. Your tasks, projects, and documents sync automatically.
Set Up Workspace Automation
Define triggers in awork — new tasks, status changes, due dates — and the AI actions that follow.
Work Smarter, Not Harder
Your AI agent keeps awork organized while you focus on execution. Track productivity gains on your dashboard.
Vendor: Riverline Co. · Term: 12 months from Apr 1.
Action items extracted; assignees notified in Slack.
Three deals moved to next stage; risks flagged for the AE.
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.
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 meeting outcome.
- Agent2:46 PM
Advanced deal stage; the criteria for Proposal were met.
Reason: Budget confirmed and decision-maker identified per stage definition.
- Agent2:45 PM
Wrote meeting notes 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.
Frequently asked questions
The awork integration automates end-to-end data entry — including data capture from awork, validation, routing, follow-up actions, and status updates. Every data entry step that touches awork can be handled by the AI agent.
All data exchanged between awork and Arahi AI during data entry processing is encrypted in transit and at rest. We use OAuth tokens for awork access, never store raw credentials, and maintain full audit logs of every data entry action.
Yes. You can create parallel data entry workflows that respond to different awork events or conditions. For example, one data entry flow for new awork records and another for updated ones — each with independent rules and actions.
Manual data entry in awork requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling data entry tasks in real-time as awork events occur — running 24/7 with consistent accuracy and zero fatigue.
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 awork (intake, work orders, inspection reports) are processed accurately.
Validated extraction accuracy typically exceeds 98% on standardized documents — significantly better than the 4-5% error rates common with manual data entry in awork environments. Edge cases below the confidence threshold are flagged for human review instead of guessed.
The awork integration maintains a persistent real-time connection for data entry automation with automatic retry logic and continuous monitoring. If awork experiences downtime, queued data entry tasks process automatically once connectivity resumes.
The data entry agent scales automatically as your awork activity grows. Whether you process 10 or 10,000 data entry tasks per day from awork, the AI handles the volume without slowdowns or additional configuration.
Yes. The data entry agent connected to awork simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single data entry workflow can pull data from awork, process it, and push results to multiple destinations.
The dashboard shows data entry-specific metrics for your awork integration — tasks processed, average handling time, success rates, and escalation frequency. You can track how awork-triggered data entry workflows perform over time.
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