AI Agent for Data Entry — Built for Wrike
Automate Data Entry for teams using Wrike. Arahi AI agents handle the workflow end-to-end — no code, set up in minutes.
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 Wrike
Link Wrike to Arahi AI in one click. Your tasks, projects, and documents sync automatically.
Set Up Workspace Automation
Define triggers in Wrike — new tasks, status changes, due dates — and the AI actions that follow.
Work Smarter, Not Harder
Your AI agent keeps Wrike 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
No coding required. The no-code builder walks you through connecting Wrike and configuring data entry rules visually. Your team can set up, modify, and manage Wrike-based data entry workflows without any developer involvement.
Yes. You can create parallel data entry workflows that respond to different Wrike events or conditions. For example, one data entry flow for new Wrike records and another for updated ones — each with independent rules and actions.
Yes. The data entry agent connected to Wrike simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single data entry workflow can pull data from Wrike, process it, and push results to multiple destinations.
When the AI hits an edge case during data entry processing in Wrike, it escalates to your team with full context — the Wrike record, what was attempted, and why it needs review. Your data entry pipeline never stalls or loses data.
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 wrike (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 wrike environments. Edge cases below the confidence threshold are flagged for human review instead of guessed.
The data entry agent scales automatically as your Wrike activity grows. Whether you process 10 or 10,000 data entry tasks per day from Wrike, the AI handles the volume without slowdowns or additional configuration.
Yes. You can run data entry workflows in test mode using sample Wrike data before activating on live records. This lets you verify every data entry rule works correctly with your Wrike setup before processing real data.
The Wrike integration maintains a persistent real-time connection for data entry automation with automatic retry logic and continuous monitoring. If Wrike experiences downtime, queued data entry tasks process automatically once connectivity resumes.
Most users connect Wrike 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.
Explore more AI agent solutions
Start automating Data Entry for Wrike
7-day free trial. Works with the tools you already use.