As AI accelerates software delivery, product managers face growing pressure to keep pace without sacrificing decision quality. The challenge isn't just moving faster; it's making better decisions. This session introduces a practical framework for combining AI with the visual collaboration techniques product teams already rely on, like story maps, opportunity trees, assumption maps, and prototypes. By using AI to both create and interpret workshop artifacts, teams can accelerate alignment, strengthen governance, and create richer context for downstream AI-powered development. Key takeaways: - Ways AI is exerting uneven pressure across business functions and phases of work making up the PDLC - Risks for Product Management leaders and PMs to keep in mind when adopting AI - Practical techniques you can use to accelerate decision making, without sacrificing the team alignment and quality that create good software products - Ways to improve governance and create better context for AI-assisted / AI-native engineering