Loading…
← All case studies · Recruiting
Recruiting
Apex Talent
Candidate screen time -82%, placement velocity 2.3×
-82%
Screen time
60% of recruiter time→11% of recruiter time
47d→20d
Time-to-fill
47 days→20 days
2.3×
Placement velocity
32 placements/qtr→73 placements/qtr
The challenge
What wasn't working
Mid-market recruiting firm processing 1200+ applications/month across 15 active roles. Recruiters spent 60% of their time reading CVs, drafting screening emails, and scheduling first calls. Time-to-fill averaged 47 days against an industry benchmark of 30.
The architecture
How we solved it
AI screener reads every application against the role's ICP. High-confidence matches (top 15%) auto-progress to the screening sequence — personalised email, calendar invite, intake form. Borderline cases (next 25%) ranked and routed to a recruiter. The bottom 60% get a polite, branded rejection within 90 minutes.
Stack used
Custom screener modelGreenhouse ATSCalendlyResendChatGPT for personalisation
The result
What happened
Recruiter screening time dropped 82%. Time-to-fill improved from 47 days to 20. Placement velocity 2.3× — the firm filled 73 roles in the first quarter post-deployment vs 32 the prior quarter. Candidate NPS jumped because rejections came fast.
“
Arora as the AI CEO is the best decision we made this year. She handles the routine 80% so my team can focus on the 20% that actually moves revenue.
Sofia ReyesCEO · Apex Talent
More cases
If this resonated, also read
Want a case like this in your business?
Run the free 60-second ROI Audit — Arora maps the closest case to your numbers.
Get Your Free ROI Audit →