As organizations move from experimenting with AI to using it in real business processes, questions of governance, trust, and adoption become just as important as the technology itself. In this panel discussion, we’ll explore what manufacturing leaders need to consider to responsibly scale AI usage while putting the right guardrails in place.

This session brings together multiple perspectives to discuss real-world best practices, lessons learned, and common pitfalls related to AI governance and adoption. Panelists will share how organizations think about AI usage—including permissions, oversight, and controls—as AI moves from limited use to broader deployment across teams and workflows.

Topics will include how to balance innovation with control, how to build trust through transparency and governance, and how to introduce AI in a way that encourages adoption while maintaining confidence and accountability.