The conversation about AI in enterprise product teams has moved on from whether to use it to how to integrate it without creating new dependencies, new risks, and new forms of technical debt. This panel brings together product leaders who have gone past the experimentation phase and are now running AI as a core part of how their teams operate. Panelists will cover where AI has genuinely changed how they work, where it has underdelivered, and the governance and process questions that most teams are still figuring out in real time. Expect honest disagreement about what good AI integration actually looks like inside a complex, regulated, or legacy-constrained enterprise environment. Attendee takeaways - Where AI is creating real leverage in enterprise product workflows versus where the hype has outrun the reality - The governance and process guardrails that make AI integration safe in regulated or risk-sensitive environments - How to evaluate AI tooling for enterprise product teams when every vendor is making the same claims - What changes about team structure and skill requirements when AI becomes a core part of how the product org operates