Automation guide
How to Automate Candidate Screening with ChatGPT / GPT-4o (OpenAI)
Parse resumes, score against job requirements, draft outreach, and schedule screening calls automatically.
The problem
Recruiting teams manually review 200+ applications per role. Early-stage screening takes 3-5 hours per role per week.
The outcome
Recruiters only see pre-qualified candidates with a scoring rationale. Time-to-first-screen drops from days to hours.
The tool
OpenAI's GPT-4o is the most widely deployed LLM.
How it works — step by step
- 1Application arrives in ATS
- 2AI parses resume and scores against job requirements
- 3Top candidates flagged; rejection emails drafted for below-threshold
- 4Interview scheduling links sent to qualified candidates automatically
About ChatGPT / GPT-4o (OpenAI)
OpenAI's GPT-4o is the most widely deployed LLM. Excellent function calling, vision, and broad general capability.
Strengths
- ✓Function calling
- ✓Vision / multimodal
- ✓Broad ecosystem
- ✓Structured outputs
Pricing
Per token — gpt-4o: $2.50/$10 per 1M tokens in/out
When this makes sense
Candidate Screening automation with ChatGPT works best when your team handles this workflow multiple times per week, inputs are consistent enough for pattern matching, and human review of exceptions is part of the process. It is less effective when every instance requires unique judgment or when regulatory requirements mandate human sign-off on every step.
Related automation guides
Want this in production?
Altor builds candidate screening automation for US B2B companies.
We connect to your live systems, ship to production in 3 weeks, and stay until the system delivers measurable impact. Recruiters only see pre-qualified candidates with a scoring rationale. Time-to-first-screen drops from days to hours.