Data Entry on Autopilot for ADP Users
Arahi AI automates Data Entry across ADP, 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 ADP
Link ADP to Arahi AI with secure OAuth. Employee data and HR workflows sync immediately.
Configure HR Automation
Set up triggers for ADP events — new hires, leave requests, reviews — and define the AI-driven responses.
Streamline People Operations
AI handles routine HR tasks in ADP so your team focuses on culture and strategy. Track time saved per process.
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 ADP to handle the full data entry workflow. The AI agent monitors ADP events, processes data entry tasks automatically, and writes results back to ADP — no copy-pasting or tab-switching required.
All data exchanged between ADP and Arahi AI during data entry processing is encrypted in transit and at rest. We use OAuth tokens for ADP access, never store raw credentials, and maintain full audit logs of every data entry action.
The data entry agent scales automatically as your ADP activity grows. Whether you process 10 or 10,000 data entry tasks per day from ADP, the AI handles the volume without slowdowns or additional configuration.
Yes. You can run data entry workflows in test mode using sample ADP data before activating on live records. This lets you verify every data entry rule works correctly with your ADP setup before processing real data.
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 adp (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 adp 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 ADP and configuring data entry rules visually. Your team can set up, modify, and manage ADP-based data entry workflows without any developer involvement.
Manual data entry in ADP requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling data entry tasks in real-time as ADP events occur — running 24/7 with consistent accuracy and zero fatigue.
When the AI hits an edge case during data entry processing in ADP, it escalates to your team with full context — the ADP record, what was attempted, and why it needs review. Your data entry pipeline never stalls or loses data.
The dashboard shows data entry-specific metrics for your ADP integration — tasks processed, average handling time, success rates, and escalation frequency. You can track how ADP-triggered data entry workflows perform over time.
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