Smarter Data Entry for Fauna Teams
Turn Data Entry into a background job. Arahi AI agents use Fauna to execute on your behalf, 24/7.
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 Your Fauna Database
Authorize Fauna with secure credentials. Arahi AI maps your schema and tables automatically.
Configure Data Sync Rules
Define which Fauna records trigger AI actions — new rows, updates, or scheduled queries.
Automate & Validate
AI keeps Fauna data clean, synchronized, and flowing to downstream apps. Monitor sync health in real-time.
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
All data exchanged between Fauna and Arahi AI during data entry processing is encrypted in transit and at rest. We use OAuth tokens for Fauna access, never store raw credentials, and maintain full audit logs of every data entry action.
Manual data entry in Fauna requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling data entry tasks in real-time as Fauna events occur — running 24/7 with consistent accuracy and zero fatigue.
The data entry agent scales automatically as your Fauna activity grows. Whether you process 10 or 10,000 data entry tasks per day from Fauna, the AI handles the volume without slowdowns or additional configuration.
Yes. The data entry agent connected to Fauna simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single data entry workflow can pull data from Fauna, 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 fauna (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 fauna environments. Edge cases below the confidence threshold are flagged for human review instead of guessed.
Most users connect Fauna 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 can create parallel data entry workflows that respond to different Fauna events or conditions. For example, one data entry flow for new Fauna records and another for updated ones — each with independent rules and actions.
The Fauna integration maintains a persistent real-time connection for data entry automation with automatic retry logic and continuous monitoring. If Fauna experiences downtime, queued data entry tasks process automatically once connectivity resumes.
No coding required. The no-code builder walks you through connecting Fauna and configuring data entry rules visually. Your team can set up, modify, and manage Fauna-based data entry workflows without any developer involvement.
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