Agentic AI for Busy Product Managers
Second edition. The judgment a person used to supply at runtime, and how to write it down before the agent runs. Fifteen chapters for PMs shipping agentic AI where being wrong has consequences.
A user story worked for twenty years because a person stood at the other end of it. The story could stay silent on the refund ceiling and the authorization rule, because a trained human read the screen and supplied all of it at the moment it mattered. Take that person out and the judgment does not leave with them. It becomes context nobody wrote down, in a system that acts on its own.
Writing that judgment down, before the agent runs, is what this book is about.
Not a primer and not a framework book. A practitioner's guide for PMs shipping agentic AI in enterprise, with the artifacts I actually use in design and governance reviews: the four runtime artifacts, the when-wrong spec, the two briefs, the coverage statement, and a cost model that forces honesty about when an agent actually beats an RPA flow or a well-tooled human.
AI governance is architecture, embedded in the product at runtime. Not a committee artifact that lives in a slide deck.
New in the second edition. The departed user, the person whose judgment the specification always assumed. The judgment gap, and why nothing certifies it. A five-rung autonomy ladder with the break point named, where supervision stops being a review step and becomes a product. Retirement, the phase nobody plans. Context engineering. Fifteen chapters, three appendices, and every figure, price and citation re-verified.
The physician and product leader lens runs throughout, because healthcare has been running this experiment, under real stakes and regulation, for decades.
Read it free at agenticaiproductmanagement.com. Print and Kindle editions on Amazon.
