What it means
An AI approval flow is the set of review steps that controls when AI-generated outputs, recommendations, summaries, scores, or workflow actions can be accepted, edited, rejected, or escalated. In HR software, it may apply to candidate summaries, interview notes, job descriptions, compensation recommendations, employee communications, analytics, or automated workflow decisions.
Why buyers should care
AI approval flows matter because people workflows often involve sensitive data, employment decisions, and trust. Without review checkpoints, generated content can move too quickly into candidate communication, manager action, payroll-adjacent processes, or decision records. Buyers should expect approval controls that match the risk of the workflow rather than a single global AI on/off switch.
Evaluation checks
Review who can approve AI outputs, what changes are logged, whether approvals can be required by workflow type, and how exceptions are routed. Check role-based permissions, audit history, notifications, reviewer comments, version history, and integration with ATS, HRIS, payroll, or ticketing systems. Approval flows should preserve human accountability and make rejected AI outputs visible for quality review.
This glossary entry is buyer-oriented guidance, not legal, compliance, or financial advice.