Where AI still needs human review
AI can classify, summarize and draft. Whether it may act without review depends on the consequence of being wrong, the quality of the evidence, and how easily a decision can be undone.
Use a simple risk screen
Keep a human reviewer when the output can change a person’s rights, money, access, reputation, safety, legal position, or essential service. Also keep review when the model is asked to infer a fact that is not available in the supplied records.
Separate recommendation from action
A low-risk workflow may prepare a draft, rank options or route a request. A human can then confirm the decision. This preserves speed without hiding accountability.
Define the stop condition
Do not tell a system to “handle everything.” State when it must stop: low confidence, conflicting evidence, absent records, unusual values, a policy exception, or a request outside its approved scope.
Review the workflow itself
Check exception logs and corrections regularly. A workflow can drift when its inputs, policies or connected systems change.
Before setting review points, map the workflow. For a tool-selection approach, read our evaluation guide.