An anonymous leading technology company deployed an AI recruiter to handle initial screening and assessments of over 2,000 software engineering applicants monthly. The AI conducted asynchronous technical interviews using GPT-based models, rubric-based scoring, and generated consistent feedback. This automation reduced time-to-hire from 45 to 12 days, increased recruiter capacity by 67%, improved candidate quality by 34%, and lowered cost-per-hire by 61%.
- Time-to-hire reduced from 45 to 12 days
- 67% increase in recruiter capacity
- 34% improvement in candidate quality
- 61% lower cost-per-hire
Lengthy, manual technical screening delayed hiring and limited recruiter bandwidth
AI multi-agent system using GPT-4 and large language models for asynchronous interviews, rubric scoring, and decision support
- Faster, more objective hiring
- Higher quality candidate selection
- Cost savings and efficiency gains
