Human-in-the-loop systems rely on supervised oversight, ensuring control in high-risk tasks. Agentic AI performs multi-step operations autonomously using reasoning loops. Choosing between the two depends on error tolerance, speed needs and governance demands. Understanding both models helps teams deploy AI that fits operational safety and efficiency requirements.