Screen 200 resumes against the rubric, surface the 10 worth interviewing.
ChatGPT reads each resume, scores it against your rubric, summarizes the candidate's fit in three lines, and ranks the shortlist for your recruiter — with reasoning per score.
47 screened · 5 shortlisted. Top pick summary:
How does OpenAI (ChatGPT) work for resume screening automation?
OpenAI (ChatGPT) works for resume screening automation by powering an Arahi AI agent that runs the workflow end-to-end inside your existing tools — no code, no custom build. The agent connects to OpenAI (ChatGPT) alongside the other apps your team already uses, watches for the triggers that matter for resume screening, and takes the next step on its own while keeping a complete audit trail for review. AI evaluates resumes against job requirements in seconds, ranking candidates objectively. Teams typically see hundreds/hr with consistent scoring rubric once the agent is in production. You stay in control: every action is logged, confidence thresholds are configurable, and anything ambiguous is queued for a human instead of being silently auto-completed.
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).
Deploy & Monitor Results
Your AI agent goes live immediately. Track tasks automated, time saved, and accuracy metrics in real-time.
AE shortlist · 5 candidates ranked (top: Aisha Patel, 94/100)
ChatGPT screened all 47 applicants against our AE rubric (PLG SaaS, $50–250K ACV, 3+ years closing). Top five attached, ranked.
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 recruiting@arahi.ai.
- 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: Screen today's 47 resumes from @LinkedIn using @ChatGPT — score against the AE r
- Agent11:38 AM
Confirmed sender domain DKIM is healthy.
Frequently asked questions
You define it: required experience, nice-to-have skills, dealbreakers, location and visa constraints. The agent asks clarifying questions before scoring if the rubric has gaps.
The agent scores against the rubric only — it doesn't see name, photo, or pronoun. We surface a fairness check after each batch (acceptance rate by demographic) so you can audit.
Yes — Greenhouse, Lever, Workday Recruiting, Ashby, and SmartRecruiters. Scores and summaries land in the candidate record, not a separate tool.
Yes. Each shortlisted candidate gets a personalized outreach draft referencing their specific experience. Recruiter reviews and sends.
Recruiters typically spend 3–5 minutes per resume. The agent does the first-pass screen in under a minute total, leaving recruiters ~6 hours for the candidates that actually deserve attention.
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Start automating Resume Screening for OpenAI (ChatGPT)
7-day free trial. Works with the tools you already use.