Agentic AI for Busy Product Managers
Everything you need to design AI agents that actually work in production: the design decisions your frameworks miss, how to build for a system that acts on its own, and what you owe the people it will affect. Free guide, no fluff.
Not a primer or 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: Consequence Classification, the When-Wrong Spec, Policy-as-Product, and a cost table 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.
The semantic backbone chapter (knowledge graph plus hybrid retrieval) pushes on the question nobody wants to answer: who owns it.
Physician-to-PM lens runs throughout, because healthcare has been running this experiment, under real stakes and regulation, for decades. Closing field manual is two pages and the highest-leverage part of the book.
Find it at agenticaiproductmanagement.com
