Outreach, screening, and scheduling — without the manual chase.
Reaches out to passive candidates in the hiring manager's voice, screens inbound applicants against your rubric, and books interviews with calendar integration.
32 outreach drafts sent. One representative message:
How does OpenAI (ChatGPT) work for recruitment teams?
OpenAI (ChatGPT) works for recruitment teams as the engine behind an Arahi AI agent built around the workflows that actually consume your week. The agent reads context from OpenAI (ChatGPT) and the other systems your recruitment operation depends on, runs the routine work in the background, and surfaces only the cases that need a human decision. Automate repetitive tasks and free up your recruitment team to focus on high-value strategic work. Teams typically see shorter hiring timeline once the agent is in production. Setup is no-code, every action is auditable, and the agent is scoped to the rules your recruitment team defines — not a generic template applied to your business.
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 OpenAI (ChatGPT)
Authorize OpenAI (ChatGPT) in your Arahi AI dashboard. The secure connection takes less than 60 seconds.
Configure Your AI Agent
Set up triggers, actions, and conditions specific to how your team uses OpenAI (ChatGPT). For recruitment teams, this typically means routing workflows from tools like Greenhouse alongside OpenAI (ChatGPT).
Deploy & Monitor Results
Your AI agent goes live immediately. Track tasks automated, time saved, and accuracy metrics in real-time.
Heads-up before the recruiter blast — Arahi AE role
I lead sales at Arahi AI — we're an AI-employees platform for B2B SaaS, Series A, growing fast. I noticed your work at Notion + Front (especially the Front mid-market expansion).
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 nadia.r@inmail.linkedin.
- 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: Have @ChatGPT reach out to every passive candidate from @LinkedIn matching the A
- Agent11:38 AM
Confirmed sender domain DKIM is healthy.
Frequently asked questions
Greenhouse, Lever, Workday Recruiting, Ashby, SmartRecruiters, JazzHR. Candidate records and pipeline status sync directly.
It reads each candidate's LinkedIn, GitHub (if relevant), and any public work, and references specific points in the outreach. Generic templates get rejected; specific outreach gets reply rates.
Yes — against your rubric, with reasoning per score. The agent doesn't see name or photo to reduce bias.
It coordinates between candidate, hiring manager, and panel. Multi-round interview loops are handled end-to-end.
Yes — status updates, rejections in your voice (not generic), and feedback handling for declined candidates. The candidate experience stays human even with high volume.
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