Run Lead Enrichment on Greenhouse — AI Agent
Already on Greenhouse? 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 Greenhouse
Link Greenhouse to Arahi AI with secure OAuth. Employee data and HR workflows sync immediately.
Configure HR Automation
Set up triggers for Greenhouse events — new hires, leave requests, reviews — and define the AI-driven responses.
Streamline People Operations
AI handles routine HR tasks in Greenhouse 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
Manual lead enrichment in Greenhouse requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling lead enrichment tasks in real-time as Greenhouse events occur — running 24/7 with consistent accuracy and zero fatigue.
All data exchanged between Greenhouse and Arahi AI during lead enrichment processing is encrypted in transit and at rest. We use OAuth tokens for Greenhouse access, never store raw credentials, and maintain full audit logs of every lead enrichment action.
Yes. You define exactly which Greenhouse events start lead enrichment workflows — new records, status changes, messages, or custom triggers. Each trigger can have conditions so lead enrichment actions only fire when your specific criteria are met in Greenhouse.
The lead enrichment agent scales automatically as your Greenhouse activity grows. Whether you process 10 or 10,000 lead enrichment tasks per day from Greenhouse, the AI handles the volume without slowdowns or additional configuration.
No coding required. The no-code builder walks you through connecting Greenhouse and configuring lead enrichment rules visually. Your team can set up, modify, and manage Greenhouse-based lead enrichment workflows without any developer involvement.
When the AI hits an edge case during lead enrichment processing in Greenhouse, it escalates to your team with full context — the Greenhouse record, what was attempted, and why it needs review. Your lead enrichment pipeline never stalls or loses data.
The Greenhouse integration automates end-to-end lead enrichment — including data capture from Greenhouse, validation, routing, follow-up actions, and status updates. Every lead enrichment step that touches Greenhouse can be handled by the AI agent.
The Greenhouse integration maintains a persistent real-time connection for lead enrichment automation with automatic retry logic and continuous monitoring. If Greenhouse experiences downtime, queued lead enrichment tasks process automatically once connectivity resumes.
Arahi AI connects to Greenhouse via one-click OAuth, then runs lead enrichment workflows that read and write Greenhouse data on a schedule or in response to triggers. You configure the rules once; the agent executes lead enrichment across every relevant Greenhouse record without developer involvement.
Greenhouse 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 Greenhouse-adjacent work that genuinely needs human attention.
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