What Should Count as a Successful AI Task?

A workflow can finish on time and still make the wrong decision—or cross a boundary it should have escalated.

When teams evaluate an AI agent, what evidence should count as success beyond task completion? Should the evaluation include whether it respected its permissions, handled exceptions appropriately, and asked for human approval when required? And who should own that definition: the product team, the people accountable for the workflow, or both?