Data Entry on Autopilot for Canny Users
Arahi AI automates Data Entry across Canny, 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 Canny
Authorize Canny and Arahi AI immediately starts monitoring incoming tickets and support events.
Configure Ticket Workflows
Set up AI triage rules — classify tickets by type, assign priority, and route to the right agent in Canny.
Resolve Faster & Track Results
AI handles routine tickets and drafts responses in Canny. Monitor resolution times and satisfaction scores live.
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 Canny to handle the full data entry workflow. The AI agent monitors Canny events, processes data entry tasks automatically, and writes results back to Canny — no copy-pasting or tab-switching required.
Yes. You can run data entry workflows in test mode using sample Canny data before activating on live records. This lets you verify every data entry rule works correctly with your Canny setup before processing real data.
Most users connect Canny 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.
Yes. You define exactly which Canny 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 Canny.
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 canny (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 canny environments. Edge cases below the confidence threshold are flagged for human review instead of guessed.
The data entry agent scales automatically as your Canny activity grows. Whether you process 10 or 10,000 data entry tasks per day from Canny, the AI handles the volume without slowdowns or additional configuration.
Manual data entry in Canny requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling data entry tasks in real-time as Canny events occur — running 24/7 with consistent accuracy and zero fatigue.
Yes. You can create parallel data entry workflows that respond to different Canny events or conditions. For example, one data entry flow for new Canny records and another for updated ones — each with independent rules and actions.
When the AI hits an edge case during data entry processing in Canny, it escalates to your team with full context — the Canny record, what was attempted, and why it needs review. Your data entry pipeline never stalls or loses data.
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