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Most enterprise AI projects fail. Not because the technology is weak, but because organizations cannot tell the difference between what to build and what to rent.
The models are commoditizing. Open-source has caught the frontier at a fraction of the cost. The protocols are now public standards, and the platforms are absorbing the agents. In a market where capability itself is racing to zero, the old question, how do we implement AI, is the wrong one. The real question is where to invest when everything standardizable is becoming free.
Deployed is a field guide for the person handed the mandate and no plan: the VP, the director, the head of digital, the product and transformation leader who has to make enterprise AI actually work. Drawing on the documented experiences of Goldman Sachs, Morgan Stanley, IKEA, Klarna, Block, John Deere, Kaiser Permanente, and the U.S. Treasury, it replaces hype and maturity-model theater with a single durable strategy.
AI commoditizes the surface and reveals what you own underneath. The winners build the four things AI cannot commoditize, your proprietary knowledge, your experts' judgment once it is encoded, the trust of your people, and the institutional learning that compounds with every deployment, while renting everything else. And they build them through a loop that gets cheaper and faster with every turn.
Inside you will find:
The technology is available to everyone. What separates the organizations capturing value from the ones merely spending money on it is the disciplined, human work of building on honest ground. Build what compounds. Rent what commoditizes. This book is the map.
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