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AI-ASSISTED CANDIDATE PRE-QUALIFICATION

Client:
A global software company with 10,000+ employees.

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Challenge:
Struggled to efficiently match candidates to open roles, receiving 120+ daily applications—many irrelevant—which caused qualified candidates to be overlooked and recruiters to lose trust in job portal leads.

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Solution:
An AI-driven pre-screening process featuring:

  • Screening for relevant applications: Identify the most relevant applications by location, industry, and skills.

  • Smart Matching: Matches candidates to all open roles using advanced AI algorithms.

  • Applicant Flagging: Brings recruiter attention to top relevant candidates instantly.

  • Unbiased Evaluation: Standardized AI scoring ensures fairness.

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Tech Stack:
Azure OpenAI API, Vector Embeddings, ElasticSearch, Azure Data Factory, .NET Framework.

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Results:

  • Lower Costs: Optimize review efforts.

  • Better Matches: Improved interviews-to-offers ratio.

  • Improved Branding: Data-driven insights refined talent strategies.

  • Enhanced Collaboration: Strengthened recruiter-branding alignment.

 

This solution streamlined hiring and reinforced the client’s reputation as a top employer.

Need something more specific? Feel free to contact us.

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