AI Agent for Feedback Collection — Built for Greenhouse
Automate Feedback Collection for teams using Greenhouse. Arahi AI agents handle the workflow end-to-end — no code, set up in minutes.
247 surveys sent · 3 detractors routed. Sample reply trigger:
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 trigger event and pull the contact's context
- 2Draft the message in your team's voice
- 3Cite each personalized line's source
- 4Queue for your review or auto-send by confidence
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.
Saw your 4/10 — what would have made it a 9?
ChatGPT flagged your NPS reply for follow-up. You said the onboarding video was hard to follow — that's on us, and I'd love 10 minutes to walk you through the parts that bit.
Personalized using LinkedIn activity from the last 30 days.
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.
- Marco11:42 AM
Approved the draft to alex@kibblecorp.com.
- Agent11:41 AM
Drafted the email and queued it for review.
Reason: High-confidence personalization but recipient is C-level — escalating per policy.
- Agent11:40 AM
Pulled LinkedIn activity and HubSpot deal context.
- Agent11:40 AM
Triggered: Send NPS surveys via @Greenhouse 30 days post-launch, route detractors to Custom
- Agent11:38 AM
Confirmed sender domain DKIM is healthy.
Frequently asked questions
No coding required. The no-code builder walks you through connecting Greenhouse and configuring feedback collection rules visually. Your team can set up, modify, and manage Greenhouse-based feedback collection workflows without any developer involvement.
Arahi AI connects natively with Greenhouse to handle the full feedback collection workflow. The AI agent monitors Greenhouse events, processes feedback collection tasks automatically, and writes results back to Greenhouse — no copy-pasting or tab-switching required.
The feedback collection agent scales automatically as your Greenhouse activity grows. Whether you process 10 or 10,000 feedback collection tasks per day from Greenhouse, the AI handles the volume without slowdowns or additional configuration.
Yes. The feedback collection agent connected to Greenhouse simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single feedback collection workflow can pull data from Greenhouse, process it, and push results to multiple destinations.
The agent triggers surveys at the moment of peak feedback value — post-purchase, post-resolution, post-onboarding, or at greenhouse-specific lifecycle milestones. Timing is calibrated for highest response rate, not arbitrary monthly blasts.
Yes. The agent reads open-text feedback, identifies themes, scores sentiment, and surfaces operational issues that need attention — turning unstructured feedback into prioritized improvement workstreams for your greenhouse team.
The Greenhouse integration automates end-to-end feedback collection — including data capture from Greenhouse, validation, routing, follow-up actions, and status updates. Every feedback collection step that touches Greenhouse can be handled by the AI agent.
Yes. You can run feedback collection workflows in test mode using sample Greenhouse data before activating on live records. This lets you verify every feedback collection rule works correctly with your Greenhouse setup before processing real data.
The Greenhouse integration maintains a persistent real-time connection for feedback collection automation with automatic retry logic and continuous monitoring. If Greenhouse experiences downtime, queued feedback collection tasks process automatically once connectivity resumes.
Teams automating feedback collection through Greenhouse typically save 10-20 hours per week on manual processing. The ROI dashboard tracks time saved, tasks completed, and error reduction so you can quantify exactly what Greenhouse-powered feedback collection automation delivers.
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