AI agents are often presented as systems that can do almost anything. But running a coding task is very different from managing a supply chain process. This session will separate the narrative around AI agents from the reality of deploying them in supply chain operations. We’ll look at how AI has evolved from large language models to agents, which types of supply chain work agents can reliably handle today, and what it takes to move from an impressive demo to dependable execution. Attendees will also learn how to maintain control through defined permissions, human-in-the-loop review, low-confidence escalation, and full audit trails.

1. Explain how AI has evolved from language models that generate answers to agents that complete supply chain work.
2. Identify which supply chain processes agents can reliably handle today.
3. Understand how defined permissions, human-in-the-loop controls, low-confidence handoffs, and audit trails support trusted agent deployment in supply chain operations.