What it means
AI governance is the set of policies, roles, controls, reviews, and evidence that guide how AI-enabled software is selected, configured, monitored, and changed. In HR software, governance may apply to recruiting, employee records, workforce analytics, compensation context, manager workflows, generated communications, and vendor-managed AI features.
Why buyers should care
AI governance matters because HR workflows often involve sensitive people data and decisions that need accountability. A vendor may provide useful AI capabilities, but the buyer still needs to understand who owns configuration, who reviews outputs, what data is used, how risks are monitored, and when a feature should be limited or paused. Governance turns AI from a demo feature into an operationally accountable workflow.
Evaluation checks
Buyers should review admin controls, audit logs, approval flows, permission models, model or feature disclosures, data handling, vendor documentation, and incident response. Ask how the product supports human review, policy exceptions, risk assessment, and ongoing monitoring after launch. Governance should be practical enough for HR operators to use, not only a policy document outside the product.
This glossary entry is buyer-oriented guidance, not legal, compliance, or financial advice.