AI agent and automation turn LLMs into operational systems: plan, call tools, iterate, and act. Yet autonomy is brittle: wrong parameters and hallucinations can propagate into real outcomes. Reliable deployment needs AgentOps, grounding, audit trails, and human-in-the-loop controls.