Data Entry Automation on Act! 365, Powered by AI
Run Data Entry on top of Act! 365 with an Arahi AI agent. Faster execution, fewer errors, zero manual busywork.
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 Act! 365 work for data entry automation?
Act! 365 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 Act! 365 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 Your Act! 365 Account
Authorize Act! 365 via OAuth in one click. Arahi AI maps your contacts, deals, and custom fields automatically.
Set Up Sales Automation Rules
Define triggers — new lead, deal stage change, stale pipeline — and the AI actions to take in Act! 365.
Launch & Track Revenue Impact
Your AI agent starts working inside Act! 365. Track leads processed, deals influenced, and time saved 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
Manual data entry in Act! 365 requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling data entry tasks in real-time as Act! 365 events occur — running 24/7 with consistent accuracy and zero fatigue.
Teams automating data entry through Act! 365 typically save 10-20 hours per week on manual processing. The ROI dashboard tracks time saved, tasks completed, and error reduction so you can quantify exactly what Act! 365-powered data entry automation delivers.
Arahi AI connects natively with Act! 365 to handle the full data entry workflow. The AI agent monitors Act! 365 events, processes data entry tasks automatically, and writes results back to Act! 365 — no copy-pasting or tab-switching required.
The Act! 365 integration automates end-to-end data entry — including data capture from Act! 365, validation, routing, follow-up actions, and status updates. Every data entry step that touches Act! 365 can be handled by the AI agent.
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 act! 365 (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 act! 365 environments. Edge cases below the confidence threshold are flagged for human review instead of guessed.
Most users connect Act! 365 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 Act! 365 events or conditions. For example, one data entry flow for new Act! 365 records and another for updated ones — each with independent rules and actions.
All data exchanged between Act! 365 and Arahi AI during data entry processing is encrypted in transit and at rest. We use OAuth tokens for Act! 365 access, never store raw credentials, and maintain full audit logs of every data entry action.
Yes. The data entry agent connected to Act! 365 simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single data entry workflow can pull data from Act! 365, process it, and push results to multiple destinations.
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