Vendor Evaluation Framework
AI hiring vendors can look impressive and still create unmanaged liability. We run structured diligence that tests how a tool behaves in your environment, what you can control, and what you can prove after the fact.
Vendor evaluation that doesn’t get fooled by demos.
What we evaluate
Model transparency: inputs, outputs, explainability, limitations
What’s configurable vs hard-coded
Data handling, retention, and security posture
Bias and adverse impact testing claims (and what’s missing)
Audit artifacts: logs, decision traces, and reporting
Contract risk: indemnities, responsibilities, and failure modes
Integration risk across ATS/HRIS and downstream workflows
You get a clear “go/no-go” recommendation plus implementation guardrails if you proceed, so the tool doesn’t become a black box inside your process.