Automate Data Entry Across Confection with AI
Purpose-built AI agent for Data Entry — connects to Confection in minutes so your team can stop doing the work by hand.
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).
How does Confection work for data entry automation?
Confection works for data entry automation by powering an Arahi AI agent that runs the workflow end-to-end inside your existing tools — no code, no custom build. The agent connects to Confection alongside the other apps your team already uses, watches for the triggers that matter for data entry, and takes the next step on its own while keeping a complete audit trail for review. AI extracts, validates, and enters data from documents, emails, and forms automatically. Teams typically see high across mixed document formats once the agent is in production. You stay in control: every action is logged, confidence thresholds are configurable, and anything ambiguous is queued for a human instead of being silently auto-completed.
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 Confection
Authorize Confection and Arahi AI hooks into your issues, repos, and deployment pipelines.
Configure Dev Workflows
Define triggers for Confection events — new issues, PR merges, build failures — and the AI actions to take.
Ship Faster with Less Toil
AI automates the tedious parts of your Confection workflow. Track issues triaged, alerts handled, and developer time saved.
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
The Confection integration automates end-to-end data entry — including data capture from Confection, validation, routing, follow-up actions, and status updates. Every data entry step that touches Confection can be handled by the AI agent.
Arahi AI connects natively with Confection to handle the full data entry workflow. The AI agent monitors Confection events, processes data entry tasks automatically, and writes results back to Confection — no copy-pasting or tab-switching required.
Yes. You define exactly which Confection 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 Confection.
All data exchanged between Confection and Arahi AI during data entry processing is encrypted in transit and at rest. We use OAuth tokens for Confection access, never store raw credentials, and maintain full audit logs of every data entry action.
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 confection (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 confection environments. Edge cases below the confidence threshold are flagged for human review instead of guessed.
When the AI hits an edge case during data entry processing in Confection, it escalates to your team with full context — the Confection record, what was attempted, and why it needs review. Your data entry pipeline never stalls or loses data.
The data entry agent scales automatically as your Confection activity grows. Whether you process 10 or 10,000 data entry tasks per day from Confection, the AI handles the volume without slowdowns or additional configuration.
The Confection integration maintains a persistent real-time connection for data entry automation with automatic retry logic and continuous monitoring. If Confection experiences downtime, queued data entry tasks process automatically once connectivity resumes.
Manual data entry in Confection requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling data entry tasks in real-time as Confection events occur — running 24/7 with consistent accuracy and zero fatigue.
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