Run Lead Enrichment on ADP — AI Agent
Already on ADP? Add an Arahi AI agent for Lead Enrichment and save hours every week without writing code.
84 contacts enriched. Latest write-back:
Meeting notes
- • Title: VP of Operations · Series B (Mar 2024) · 80 FTE.
- • Stack: HubSpot, Stripe, Notion, Slack, Linear.
- • Buying signals: 2 ops hires last 60d, recent G2 review search.
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.
Title: VP of Operations · Series B (Mar 2024) · 80 FTE.
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 Salesforce · Contacts 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 Contact · Sam Okafor (Beacongrid).
- Agent2:44 PM
Read the transcript and extracted action items.
- Agent2:30 PM
Triggered by call end event in Granola.
Frequently asked questions
The ADP integration automates end-to-end lead enrichment — including data capture from ADP, validation, routing, follow-up actions, and status updates. Every lead enrichment step that touches ADP can be handled by the AI agent.
Manual lead enrichment in ADP requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling lead enrichment tasks in real-time as ADP events occur — running 24/7 with consistent accuracy and zero fatigue.
The lead enrichment agent scales automatically as your ADP activity grows. Whether you process 10 or 10,000 lead enrichment tasks per day from ADP, the AI handles the volume without slowdowns or additional configuration.
All data exchanged between ADP and Arahi AI during lead enrichment 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 lead enrichment action.
Yes. The lead enrichment agent connected to ADP simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single lead enrichment workflow can pull data from ADP, process it, and push results to multiple destinations.
When the AI hits an edge case during lead enrichment processing in ADP, it escalates to your team with full context — the ADP record, what was attempted, and why it needs review. Your lead enrichment pipeline never stalls or loses data.
The ADP integration maintains a persistent real-time connection for lead enrichment automation with automatic retry logic and continuous monitoring. If ADP experiences downtime, queued lead enrichment tasks process automatically once connectivity resumes.
No coding required. The no-code builder walks you through connecting ADP and configuring lead enrichment rules visually. Your team can set up, modify, and manage ADP-based lead enrichment workflows without any developer involvement.
Arahi AI connects to ADP via one-click OAuth, then runs lead enrichment workflows that read and write ADP data on a schedule or in response to triggers. You configure the rules once; the agent executes lead enrichment across every relevant ADP record without developer involvement.
ADP holds the data; AI supplies the judgment and throughput. Together they turn lead enrichment from a manual, inconsistent process into one that runs at machine speed with a consistent quality bar — freeing your team to focus on the ADP-adjacent work that genuinely needs human attention.
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