MII AI E-Recruitment
AI-assisted recruitment and CV screening at scale.

At a glance
- Doc AIStructured CV extraction
- RankRole-fit shortlist ranking
- ScaleDesigned for high applicant volume






Overview
An AI recruitment assistant that parses CVs, extracts candidate profiles, screens applicants against role requirements, and ranks shortlists objectively.
Using Azure OpenAI and Azure Document Intelligence, it reduces manual screening effort, makes evaluation criteria easier to compare, and helps hiring teams focus interviews on the strongest candidates.
Case study
- 01
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.
- 02
Our approach
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.
- 03
The outcome
Structured candidate profiles, role-fit comparisons, and ranked shortlists are produced with clearer reasoning and a fraction of the manual screening effort.
- 04
Impact
Hiring teams can focus interviews on stronger candidates, shorten screening cycles, compare applicants more consistently, and reduce repetitive administrative review.
Technologies
06- Azure OpenAI
- Azure Document Intelligence
- Azure AI Search
- Azure Function
- Azure App Service
- Microsoft Foundry
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