Ninety-five percent of enterprise AI projects fail to scale. This book is for the other five percent—and for everyone who wants to join them.
Your company spent millions on AI. The demo was brilliant. The pilot showed promise. Then nothing happened. The compliance team blocked it. Security flagged it. Users ignored it. The CFO couldn't measure the ROI. Nine months later, the project was quietly written off as "R&D."
Sound familiar?
AIXec is the first book that treats enterprise AI not as a technology experiment, but as an engineering discipline. Written by Cao Hung Nguyen—an AI consultant and engineer who has built and deployed AI systems inside German healthcare authorities, fashion startups, and grant consulting firms—this book reveals why organizations keep failing at AI and provides a battle-tested operating system to fix it.
Introducing CADEE: Five Layers, One System
CADEE is a practical framework forged in the trenches of real enterprise deployments. It stands for:
What makes this book different?
This isn't another AI hype book filled with breathless predictions about the future. It's a manual. Every chapter includes diagnostic tools, implementation templates, real-world case studies, and anti-patterns drawn from projects that actually shipped—and projects that spectacularly failed. You'll find Risk Intake Forms, Architecture Decision Records, Data Readiness Scorecards, a 90-Day Implementation Roadmap, and a Maturity Model that tells you exactly where your organization stands today.
Inside you'll discover:
Who this book is for:
The experimental phase is over. The engineering phase has begun. This is your blueprint.
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