GETTING REAL ABOUT AI
Where enterprise AI actually stands, why adoption is universal and return isn't, and the six ways initiatives quietly fail.
Brandon C. Powell
The operating system for turning enterprise AI investment into real returns.
GET THE READER ARTIFACTSof CEOs say AI hasn't increased revenue or cut costs at all.*
have gotten both revenue lift and cost reduction.*
have reached measurable, ongoing business impact.**
enterprise deployments behind the system in this book.
The return on AI is real, but it is concentrated in the few companies that run it as an operating model rather than a tool.
* PwC 2026 Global CEO Survey, 4,400+ CEOs. ** MIT NANDA, The GenAI Divide: State of AI in Business 2025.
Named by Forbes one of the top five AI leaders bringing AI to everyone. Harvard MBA. Girl dad. AI Humanist.
Brandon bootstrapped HatchWorks AI from nothing in 2016 to a 200-person AI firm with six offices across the Americas, then pivoted the entire company into generative AI and rebuilt how it delivers.
He has taken hundreds of CEOs and executive teams from AI curiosity to measured results, and speaks on AI strategy at YPO EDGE, Tiger 21, CEO Coaching International and Harvard Business School alumni programs. He calls himself an AI Humanist and treats that as a strategy, not a sentiment.
LinkedInInc. AI Power Partner · Inc. 5000 · Titan 100 · Gold Stevie Entrepreneur of the Year · Nearshore Entrepreneur of the Year
Fourteen chapters in three parts, drawn from more than a hundred enterprise deployments.
ONLY THREE LEVERS MATTER
If an initiative doesn't pull one of these, it's innovation theater.
Revenue lift, cost takeout, and the cash freed by faster cycles.
Catching what humans miss, at a speed humans can't match.
Calls that took weeks now take hours.
Where enterprise AI actually stands, why adoption is universal and return isn't, and the six ways initiatives quietly fail.
The formula behind the returns and the operating model that carries an initiative from idea to measured number, with two full case studies, including one that failed first.
Readiness, where to look for value, getting the data house in order, build or buy, and ninety days to a real number.
Written inside a company that bet everything on this technology, with the people who build it for a living in the room.
"Most enterprises can't tell you the return on their AI investment. That is an operating problem, not an AI problem. So I wrote a book about the fix."
Brandon C. Powell
This book was not written alone. Brandon put the question in front of the people who spend their working lives inside enterprise AI, the architects, data engineers, forward-deployed engineers and change leads at HatchWorks AI, and asked them to argue with it.
The CTO who builds intelligence layers for a living pressured the architecture. The engineers who ship agents into production pushed back on anything that wouldn't survive a real environment. The strategists who sit with executives every week cut whatever a CFO wouldn't sign. Every framework in the book had to hold up against people who would have to use it on Monday.
What survived is a system tested across more than a hundred enterprise deployments, written by an operator who bet his own company on this technology, got it wrong first, and then made it pay.
"This is the playbook, not a book about it. We ran it. It works. If your AI pilots keep going nowhere, start here."
Brant LandryPartner · Reserve Capital Partners
"AI may be the most important technology of our lifetimes, and most companies still can't show what it's done for their P&L. This book closes that gap."
Matt PaigeVP of Strategy · HatchWorks AI
"I look at businesses for a living. The ones winning with AI do what is in this book. Everyone else buys tools and hopes."
Caleb MusserChairman · GME Supply
"The only AI book I have handed to my leadership team. It tells you what to fund and what to kill."
Chris GrinnellPresident · Aero Star Aviation
"An instant best seller. Educates the reader where we are today, but also lays a marker down for a future look back at the AI acceleration timeline since 2026."
Patrick DonlinBuchanan Technologies
"It is almost never the model. It's the data underneath and the governance around it. This is the first book that treats the architecture and the funding decision as the same conversation."
Omar ShantiChief Technology Officer · HatchWorks AI
"The most useful—and more importantly, practical—book on AI for business I've read."
Rajeev KapurPresident and CEO · 1105 Media
Every diagram, checklist and decision tool from the book, as an interactive version and a PDF. Enter your company email and they are yours.
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Brandon speaks to boards, executive teams and industry audiences on making enterprise AI pay: the three value levers, the trust gates, and what the operators getting real returns do differently.
Turning enterprise AI spend into a number you can defend. It lays out an operating system built from more than a hundred real deployments: find the value, evaluate readiness, fund it properly, execute in ninety days, and measure what came back.
The whole C-suite and the leadership team under it, not the CTO or CIO alone. AI is not an IT project. It behaves more like electricity, and every leader at the table owns a piece of making it pay.
No. There is architecture in it, but it is written for people who run P&Ls. If you can read a business case, you can read this book.
It was written by an operator who bet his own company on this technology, got it wrong first, and then spent three years on the same side of the table as the people who have to make AI pay.
Every diagram, checklist and decision tool from the book lives in Reader Artifacts. Enter your email in the section above and they are yours, free, along with what gets added after publication.
Yes. Brandon keynotes and runs leadership sessions on making AI pay, for boards, executive teams and industry events. Topics, format and booking are on his site: brandoncpowell.ai/speaking