Artificial intelligence agent cost governance manages spending at the level of an agent run rather than only one model call. It links usage to runs, users and tasks, then applies policies to loops, context, tools, subagents and model selection.
Good governance uses progressive interventions before termination. A system can compact context, reduce tool output or steer behavior while preserving task completion, then enforce a hard cap when the approved budget is exhausted.
