What it means
AI vendor review is the structured evaluation of a vendor's AI-enabled product, data practices, model disclosures, governance controls, security posture, documentation, support model, and operating fit before purchase or renewal. In HR software, it may apply to recruiting automation, employee analytics, generated communications, skills inference, workflow routing, or AI-assisted support.
Why buyers should care
AI capability is often presented through polished demos, but buyers need evidence about how the product behaves in real workflows. Vendor review helps teams understand what data is used, who reviews outputs, how failures are handled, whether audit trails exist, and what contractual or operational commitments are realistic. It also helps separate mature AI controls from feature labels.
Evaluation checks
Review model or feature documentation, data retention, training-data claims, subprocessor disclosures, security controls, permissions, audit logs, human review points, exception handling, and support SLAs. Ask vendors to show known limits, failed examples, and configuration controls. A useful review produces concrete risks, owners, required controls, and rollout conditions instead of a simple yes or no.
This glossary entry is buyer-oriented guidance, not legal, compliance, or financial advice.