Data Entry on Autopilot for Pipefy Users
Arahi AI automates Data Entry across Pipefy, cutting repetitive work so your team can focus on higher-value tasks.
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 Pipefy
Link Pipefy to Arahi AI in one click. Your tasks, projects, and documents sync automatically.
Set Up Workspace Automation
Define triggers in Pipefy — new tasks, status changes, due dates — and the AI actions that follow.
Work Smarter, Not Harder
Your AI agent keeps Pipefy 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
Arahi AI connects natively with Pipefy to handle the full data entry workflow. The AI agent monitors Pipefy events, processes data entry tasks automatically, and writes results back to Pipefy — no copy-pasting or tab-switching required.
Yes. You define exactly which Pipefy events start data entry workflows — new records, status changes, messages, or custom triggers. Each trigger can have conditions so data entry actions only fire when your specific criteria are met in Pipefy.
Most users connect Pipefy and launch their first data entry automation within 10 minutes. The guided wizard handles OAuth authorization, and you configure data entry-specific rules through a visual no-code builder.
All data exchanged between Pipefy and Arahi AI during data entry processing is encrypted in transit and at rest. We use OAuth tokens for Pipefy access, never store raw credentials, and maintain full audit logs of every data entry action.
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 pipefy (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 pipefy environments. Edge cases below the confidence threshold are flagged for human review instead of guessed.
When the AI hits an edge case during data entry processing in Pipefy, it escalates to your team with full context — the Pipefy record, what was attempted, and why it needs review. Your data entry pipeline never stalls or loses data.
Manual data entry in Pipefy requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling data entry tasks in real-time as Pipefy events occur — running 24/7 with consistent accuracy and zero fatigue.
Yes. You can create parallel data entry workflows that respond to different Pipefy events or conditions. For example, one data entry flow for new Pipefy records and another for updated ones — each with independent rules and actions.
The data entry agent scales automatically as your Pipefy activity grows. Whether you process 10 or 10,000 data entry tasks per day from Pipefy, the AI handles the volume without slowdowns or additional configuration.
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