Document intelligence
CV Screening and Candidate Ranking at Scale
AI-assisted recruitment and CV screening at scale with objective candidate ranking.
Powered by Recruitment Assistant
Business value
Hiring teams can focus interviews on stronger candidates, shorten screening cycles, compare applicants more consistently, and reduce repetitive administrative review.
Recruiters manually screen large volumes of CVs, compare inconsistent formats, and translate role requirements into scoring criteria by hand, which slows hiring and creates review inconsistency across applicants. Recruitment Assistant is an MII-built capability pattern that reads CV files, extracts education, experience, skills, and role signals, compares them with job requirements, and produces ranked shortlists with consistent reasoning for recruiter review. Structured candidate profiles are generated with clearer reasoning and a fraction of the manual screening effort, so hiring teams can focus interviews on stronger candidates and shorten screening cycles.
Where it helps
- Extracting structured candidate profiles from CV documents
- Ranking applicants against role requirements objectively
- Comparing candidates with consistent evaluation criteria
What the pattern does
- CV parsing and structured candidate profile extraction
- Role-fit ranking against job requirements
- Per-candidate scoring rationale for recruitment review
The challenge
Recruiters manually screen large volumes of CVs, compare inconsistent formats, and translate role requirements into scoring criteria by hand. This slows hiring, creates review inconsistency, and makes it harder to explain why candidates were shortlisted.
What was built
AI Recruitment reads CV files, extracts education, experience, skills, and role signals, compares them with job requirements, and produces ranked shortlists with consistent reasoning for recruiter review.
What changed
Structured candidate profiles, role-fit comparisons, and ranked shortlists are produced with clearer reasoning and a fraction of the manual screening effort.
Why it matters
Hiring teams can focus interviews on stronger candidates, shorten screening cycles, compare applicants more consistently, and reduce repetitive administrative review.
- Structured CV extraction
- Doc AI
- Role-fit shortlist ranking
- Rank
- Designed for high applicant volume
- Scale
