Automate Market Research Across Greenhouse with AI
Purpose-built AI agent for Market Research — connects to Greenhouse in minutes so your team can stop doing the work by hand.
Brief drafted — 12 sources cited. Action items pulled:
Meeting notes
- • Lindy launched a $99 starter tier — undercutting our Pro by $50.
- • Relay shipped a Slack-native agent builder; demo gif on landing page.
- • Stack AI raised $25M; expect aggressive ad spend through Q2.
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.
Lindy launched a $99 starter tier — undercutting our Pro by $50.
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 Notion · Compete tracker 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 Competitor brief · Week of Mar 10.
- Agent2:44 PM
Read the transcript and extracted action items.
- Agent2:30 PM
Triggered by call end event in Granola.
Frequently asked questions
The Greenhouse integration automates end-to-end market research — including data capture from Greenhouse, validation, routing, follow-up actions, and status updates. Every market research step that touches Greenhouse can be handled by the AI agent.
Arahi AI connects natively with Greenhouse to handle the full market research workflow. The AI agent monitors Greenhouse events, processes market research tasks automatically, and writes results back to Greenhouse — no copy-pasting or tab-switching required.
All data exchanged between Greenhouse and Arahi AI during market research 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 market research action.
Yes. The market research agent connected to Greenhouse simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single market research workflow can pull data from Greenhouse, process it, and push results to multiple destinations.
Manual market research in Greenhouse requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling market research tasks in real-time as Greenhouse events occur — running 24/7 with consistent accuracy and zero fatigue.
The Greenhouse integration maintains a persistent real-time connection for market research automation with automatic retry logic and continuous monitoring. If Greenhouse experiences downtime, queued market research tasks process automatically once connectivity resumes.
Yes. You define exactly which Greenhouse events start market research workflows — new records, status changes, messages, or custom triggers. Each trigger can have conditions so market research actions only fire when your specific criteria are met in Greenhouse.
Yes. You can run market research workflows in test mode using sample Greenhouse data before activating on live records. This lets you verify every market research rule works correctly with your Greenhouse setup before processing real data.
Arahi AI connects to Greenhouse via one-click OAuth, then runs market research workflows that read and write Greenhouse data on a schedule or in response to triggers. You configure the rules once; the agent executes market research across every relevant Greenhouse record without developer involvement.
Greenhouse holds the data; AI supplies the judgment and throughput. Together they turn market research 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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