Run Data Entry on Zendesk — AI Agent
Already on Zendesk? 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 Zendesk
Authorize Zendesk 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 Zendesk.
Resolve Faster & Track Results
AI handles routine tickets and drafts responses in Zendesk. 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
When the AI hits an edge case during data entry processing in Zendesk, it escalates to your team with full context — the Zendesk record, what was attempted, and why it needs review. Your data entry pipeline never stalls or loses data.
No coding required. The no-code builder walks you through connecting Zendesk and configuring data entry rules visually. Your team can set up, modify, and manage Zendesk-based data entry workflows without any developer involvement.
Yes. You define exactly which Zendesk 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 Zendesk.
Yes. The data entry agent connected to Zendesk simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single data entry workflow can pull data from Zendesk, process it, and push results to multiple destinations.
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 zendesk (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 zendesk environments. Edge cases below the confidence threshold are flagged for human review instead of guessed.
The Zendesk integration automates end-to-end data entry — including data capture from Zendesk, validation, routing, follow-up actions, and status updates. Every data entry step that touches Zendesk can be handled by the AI agent.
Yes. You can create parallel data entry workflows that respond to different Zendesk events or conditions. For example, one data entry flow for new Zendesk records and another for updated ones — each with independent rules and actions.
The Zendesk integration maintains a persistent real-time connection for data entry automation with automatic retry logic and continuous monitoring. If Zendesk experiences downtime, queued data entry tasks process automatically once connectivity resumes.
The data entry agent scales automatically as your Zendesk activity grows. Whether you process 10 or 10,000 data entry tasks per day from Zendesk, the AI handles the volume without slowdowns or additional configuration.
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