Human approval is useful only when it changes what the system is allowed to do. A reviewer needs the information, authority, and time to stop or change an action rather than simply confirm it.
Place gates where consequence rises
Consider approval before external commitments, deletion, financial movement, privileged changes, sensitive communications, or actions that are difficult to reverse. Routine low-consequence steps may be monitored instead of individually approved.
Give reviewers decision context
Show the proposed action, source information, important validation results, known uncertainty, and the effect of approval. Avoid interfaces that push reviewers toward automatic acceptance.
Design escalation
Define what happens when a reviewer rejects, cannot decide, or does not respond. Timeouts should route work safely rather than silently converting absence into approval.
Measure the gate
Track rejection, correction, escalation, and override patterns. A gate that never changes an outcome may be placed poorly or may not provide reviewers enough context.
Related knowledge
Pair this guide with Human Review Models for Automated Decisions, AI Risk Classification, and Automation Exception Design.
References
Operational guidance only. Human review does not by itself establish legal compliance or suitability for regulated decisions.