Three books on AI inside the enterprise. One argument across all three. Book One is shipping now; Books Two and Three are next.
Why some organizations win with AI — and most just spend.
A 291-page argument for the C-suite executive who approved the budget and owns the outcome. Five sequential conditions, proven through real organizations: Watson at MD Anderson, Cleveland Clinic, Amazon's recruiting tool, Unilever, JPMorgan COIN, McDonald's. The pattern is the book.
The most visible AI failures of the last decade ran the same technology that worked elsewhere. Three pairs the book opens with.
95% of failures across 51 examined deployments traced to organizational factors, not technical ones. The organizations that succeeded had made five decisions before execution began. The ones that failed had skipped at least one.
Three reading paths, depending on where you sit in the org.
Most enterprise AI fails not because the model was wrong, but because the organization around it was. Book One names the five conditions that decide which programs return value. Book Two starts where Book One ends and shows the executive how to actually build and run a system inside their business, using their own data, without exposing it. Book Three takes the executive who has shipped one capability and shows how to compound it into a portfolio that builds on itself, with the second capability costing half what the first did. Together, the diagnosis, the build, and the system that scales them.
The diagnosis. Names the five sequential conditions (Intent, Scope, Workflow Truth, Data, Structure) and proves each through real organizations that got it right and the ones that didn't. Watson at MD Anderson. Cleveland Clinic. Amazon's recruiting tool. JPMorgan COIN. NHS England. The pattern is the book.
Of fifty-one enterprise AI deployments examined in published research, ninety-five percent of failures traced to organizational factors, not technical ones. The technology worked. The organization didn't know what to do with it.
Source: industry research, summarized in The Discipline Advantage, Chapter 1.
The build manual. The reader has done the discipline work. Now they need a system in production, using their own data, without exposing it. Architecture, retrieval, monitoring, FinOps, error handling, adoption. A complete arc, taught through one fictional company that builds the capability one chapter at a time.
The system that compounds. The executive has shipped one capability and is stuck on the second. This book is the framework for turning one capability into a portfolio that builds on itself. Brennan Logistics returns from Book Two, two years on, with eight capabilities running by the last chapter and several explicit retirements behind it.
Dan Case spent more than a decade inside large organizations building and running the infrastructure that technology initiatives depend on, across fintech, automotive, IoT, manufacturing, and security. He holds an Executive Leadership Certificate from the Wharton School of Business and an AWS Certified Machine Learning — Specialty credential. He lives in Austin, Texas.
The Advantage Series is the work distilled. The first book is the pattern he kept finding when AI initiatives failed. The second is what he kept watching the few who succeeded actually do. The third is the system the few that compounded had built around their first success.
Read the full bioBook One is on Amazon today. Book Two arrives Summer 2026. Book Three follows in 2026.
