Every organization wants AI. Few can deliver it.
The statistics tell a brutal story: 85% of AI projects fail to deliver on their promises. Only 11% of companies have adopted generative AI at scale. 30% of GenAI projects will be abandoned after proof of concept. The average time from prototype to production is eight months—and that's for the projects that succeed.
Organizations don't lack AI ambition. They lack AI reality.
The Cause
The failures aren't random. They're caused by gaps—specific, identifiable, predictable gaps between what organizations have and what AI transformation requires:
- The gap between AI strategy and the architecture required to execute it
- The gap between data infrastructure and AI-ready data
- The gap between pilots that demo well and production systems that work
- The gap between organizational structures that exist and capabilities AI requires
- The gap between governance policies on paper and governance that governs
- The gap between one agent working and an ecosystem of agents working together
Seven gaps. Each capable of killing an AI initiative. Together, they explain why transformation is so hard—and why the same organizations keep failing in the same ways.
The Solution
Mind the AI Gap teaches the Seven Gaps framework through story.
Follow Alva Bento, a Chief AI Architect, through thirty months of transformation at Nexin—a European distributor facing an existential competitive threat. Watch her discover the gaps, build coalitions, develop frameworks, face crises, and ultimately build something that works.
Through Alva's journey, you'll learn:
- 18 Practical Frameworks — From the Bridge Canvas for strategy translation to the Agent Launch Confidence Gate for production readiness
- The Chief AI Architect Role — What it is, why it matters, and how to execute it
- Phase-Gated Transformation — Why Foundation must precede Execution, and Execution must precede Scale
- The 100-Point Assessment — A diagnostic tool to evaluate where your organization stands and where to focus
Who This Book Is For
CTOs and technology leaders responsible for AI transformation. Chief Architects and Directors of Architecture who see the gaps but lack frameworks to close them. Enterprise Architects adapting EA for AI. Principal Engineers pulled into strategic conversations. Anyone tired of watching AI projects die in pilot purgatory.
This isn't a book about how transformers work or how to fine-tune models. It's a book about closing the gaps between AI ambition and AI reality.