Integrating AI agents into DevOps requires a granular governance framework that moves beyond simple binary choices of human-in-the-loop versus full autonomy. Engineering teams must evaluate agent actions based on reversibility, blast radius, and signal quality to determine if an agent should merely inform, recommend, or act with an approval gate. For most organizations, maintaining human-mediated control levels is essential for protecting critical infrastructure from irreversible automated errors.