AI Agent for Data Entry — Built for Todoist
Automate Data Entry for teams using Todoist. 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 Todoist
Link Todoist to Arahi AI in one click. Your tasks, projects, and documents sync automatically.
Set Up Workspace Automation
Define triggers in Todoist — new tasks, status changes, due dates — and the AI actions that follow.
Work Smarter, Not Harder
Your AI agent keeps Todoist 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
Yes. You can create parallel data entry workflows that respond to different Todoist events or conditions. For example, one data entry flow for new Todoist records and another for updated ones — each with independent rules and actions.
Arahi AI connects natively with Todoist to handle the full data entry workflow. The AI agent monitors Todoist events, processes data entry tasks automatically, and writes results back to Todoist — no copy-pasting or tab-switching required.
Yes. The data entry agent connected to Todoist simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single data entry workflow can pull data from Todoist, process it, and push results to multiple destinations.
Most users connect Todoist 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.
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 todoist (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 todoist environments. Edge cases below the confidence threshold are flagged for human review instead of guessed.
Yes. You can run data entry workflows in test mode using sample Todoist data before activating on live records. This lets you verify every data entry rule works correctly with your Todoist setup before processing real data.
The dashboard shows data entry-specific metrics for your Todoist integration — tasks processed, average handling time, success rates, and escalation frequency. You can track how Todoist-triggered data entry workflows perform over time.
Yes. You define exactly which Todoist 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 Todoist.
No coding required. The no-code builder walks you through connecting Todoist and configuring data entry rules visually. Your team can set up, modify, and manage Todoist-based data entry workflows without any developer involvement.
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