AI CV screening: from 100 applications to 10 interviews in one day
A popular role receives 80–150 CVs. A recruiter spends 2–3 seconds per CV before the first filter — and still lets some strong candidates slip through. AI screening is consistent, fast and tireless.
How AI scoring works
Defining role criteria
The recruiter sets when opening the position:
- Must-have: Python, 3+ years ML, SaaS experience
- Nice-to-have: PhD, automotive sector, English C1+
- Red flags: no relevant experience, very short tenures at previous companies
Automatic analysis of every CV
Position: Senior Data Scientist | 94 applications
Candidate: Jana Nováková
Must-have: 4/4 ✅
Nice-to-have: 2/3 ✅
Red flags: 0 ✅
Match: 91 % | Rank: #2
Candidate: Peter Horváth
Must-have: 3/4 ⚠️ (missing SaaS)
Nice-to-have: 1/3
Red flags: 0
Match: 67 % | Rank: #18
Candidate: Martin X
Must-have: 1/4 ❌
Red flags: 1 (3 jobs in 14 months)
Match: 31 % | Rank: #71Output for the recruiter
- Top 10 candidates with justification of match
- Reserve list for personal review (rank 11–30) in case top candidates decline
- Automatic rejection email to candidates outside top 30 (optional)
Integration with ATS
AI screening is built directly into Modulario ATS (Applicant Tracking System). The recruiter sees all candidates with their scores and can invite to interview or close a rejected application with a single click.
