
How to Evaluate AI-Assisted Screening in a Recruiting Agency
A practical, source-backed framework for testing an agency's AI screening controls, human review, evidence, and candidate communication before a search begins.
Research and data
Current benchmarks, cost analysis, selection frameworks, and source backed research for teams evaluating recruiting partners.

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10 articles

A practical, source-backed framework for testing an agency's AI screening controls, human review, evidence, and candidate communication before a search begins.

How employers and recruiting agencies can define compensation, disclosures, location, and evidence before launching a search across changing pay-transparency rules.

How to compare agency and RPO proposals by system access, least privilege, candidate data, auditability, and exit readiness.

A source-backed method for asking recruiting agencies to design, administer, and evaluate work samples without confusing exercise performance with job success.

Use known records, independent inventories, and stratified exception checks to evaluate an ATS export before relying on its recruitment metrics.

A diligence protocol for verifying how a recruiting or staffing agency runs background checks, handles consumer reports, and issues adverse-action notices on an employer's behalf.

A buyer-side protocol for testing whether a recruiting agency can keep a search running, protect candidate data, and recover after a system failure, outage, or key-person loss.

A buyer-side protocol for reviewing the data processing terms, subprocessor chains, and transfer mechanisms behind a recruiting agency's handling of candidate and client data.

A buyer-side protocol for verifying that a recruiting or staffing agency carries the coverage its contract promises, and for finding the gaps that surface only after a claim.

A buyer-side protocol for examining how a staffing or recruiting agency manages workplace safety, injury reporting, and workers' compensation for the people it places.