Data Entry on Autopilot for Box Users
Arahi AI automates Data Entry across Box, cutting repetitive work so your team can focus on higher-value tasks.
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 Box
Link your Box account to Arahi AI. Files and folders are indexed for AI processing immediately.
Set Up File Workflows
Define triggers for Box — new uploads, file changes, or folder activity — and the AI actions that follow.
Process & Organize Automatically
AI classifies, extracts data from, and routes files in Box. Track documents processed and 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
Arahi AI connects natively with Box to handle the full data entry workflow. The AI agent monitors Box events, processes data entry tasks automatically, and writes results back to Box — no copy-pasting or tab-switching required.
Manual data entry in Box requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling data entry tasks in real-time as Box events occur — running 24/7 with consistent accuracy and zero fatigue.
Yes. You can create parallel data entry workflows that respond to different Box events or conditions. For example, one data entry flow for new Box records and another for updated ones — each with independent rules and actions.
Yes. You define exactly which Box 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 Box.
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 box (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 box environments. Edge cases below the confidence threshold are flagged for human review instead of guessed.
No coding required. The no-code builder walks you through connecting Box and configuring data entry rules visually. Your team can set up, modify, and manage Box-based data entry workflows without any developer involvement.
Yes. You can run data entry workflows in test mode using sample Box data before activating on live records. This lets you verify every data entry rule works correctly with your Box setup before processing real data.
All data exchanged between Box and Arahi AI during data entry processing is encrypted in transit and at rest. We use OAuth tokens for Box access, never store raw credentials, and maintain full audit logs of every data entry action.
When the AI hits an edge case during data entry processing in Box, it escalates to your team with full context — the Box record, what was attempted, and why it needs review. Your data entry pipeline never stalls or loses data.
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