Agentic AI refers to artificial intelligence systems that can act autonomously to achieve specific goals without constant human oversight. Unlike traditional AI that simply responds to prompts or analyzes data, agentic AI systems can plan, reason, make decisions, and take actions independently. These systems use large language models (LLMs) combined with tools, APIs, and reasoning capabilities to break down complex tasks into steps and execute them. In supply chain contexts, agentic AI can autonomously negotiate with suppliers, optimize inventory levels, reroute shipments during disruptions, and coordinate multi-party workflows. The key characteristic is proactive behavior—rather than waiting for human commands, agentic AI identifies what needs to be done and does it.