First came software. Then mobile. Then machine learning. Each wave redrew the map of what product managers needed to know. Agentic AI is the next wave — and this one is different. Unlike a feature you ship, an agent makes decisions. It acts. It adapts. And if you don't understand it, you won't be able to shape it. Agentic AI for Product Managers is the playbook for PMs who want to lead in this new landscape, not follow it. Written for practitioners who don't write production code but need to make sharp architectural calls, translate business goals into agent behaviors, and ship autonomous systems that users can actually trust — this book closes the gap between what your engineers are building and what you need to understand to lead them effectively. Inside, you'll learn how to: Think in agent loops — understand how agentic systems perceive, reason, act, and adapt, and why that changes every product decision you make Rewrite your requirements — move beyond user stories and write agent stories that define goals, autonomy boundaries, guardrails, and escalation paths Design for trust — make the right calls on human-in-the-loop vs. human-on-the-loop, autonomy levels, and UX patterns that don't erode user confidence Build a smarter roadmap — sequence agentic features strategically, define your AI MVP, and avoid the trap of building complexity before capability Partner with your ML team — speak the language of evaluation sets, drift, and iteration loops without pretending to be a data scientist Govern without slowing down — apply a practical risk taxonomy and ethical framework that protects users and keeps your product moving Go to market and scale — define the right metrics, price for value, and grow an agentic product that compounds over time Packed with real-world case studies, fill-in-ready templates, and hands-on exercises, this book equips you to lead the conversation — in the roadmap meeting, the design review, and the boardroom. The age of autonomous products is here. Lead it.
