From Matching Models to Recruiting Agents: A Systematic Review of AI Recruitment Systems

They are AI-powered tools that automate hiring stages such as resume retrieval, candidate matching, assessment, and even interviewing, evolving from simple file matching to multi-stage agents.

Traditional models focused on bilateral matching between a profile and a job, while new systems handle a full workflow including evidence retrieval, comparison, and decision-making, requiring more comprehensive evaluation.

Adoption is advisable with caution, focusing on transparency and auditability, ensuring compliance with local data protection laws, and leveraging lessons from the gaps identified in the review.