Artificial intelligence agent completion verification asks for more than a claim that the work is done. It compares the result with tests, records, constraints, or review criteria that demonstrate whether the requested outcome was actually achieved.
Verification is strongest in domains with established ways to judge outputs, such as software tests or structured legal review. For less verifiable work, teams may need explicit rubrics, sampling, and human judgment.
