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GenAI-Disrupt: From Components to Enterprise Impact: The Definitive Guide for Leaders Who Need to Act
Most leaders know GenAI is changing everything. Very few understand how.
They have sat through the vendor demos. They have read the headlines. They know the numbers — $4.4 trillion in potential annual value — and they have been asked, in board meetings and budget cycles, to have a point of view. But the gap between knowing that GenAI matters and understanding how it actually works — what it is built on, how the components connect, where the risk lives, what it means for their team and their career — remains stubbornly wide.
GenAI-Disrupt was written to close that gap.
This is not a book about AI in the abstract. It was written from inside two decades of building enterprise data platforms at scale — at EMC, Oracle, Experian, DIRECTV, Visa, and Skechers — by a practitioner who is deploying these systems in production today. Every framework, every use-case, every governance principle in this book has been tested against the reality of enterprise data environments, not the idealised conditions of a research paper or a consulting deck.
WHAT THIS BOOK COVERS
The complete GenAI stack — from Governance and Trust at the foundation through Platform, Data, Models, Orchestration, and Applications. Each layer explained clearly, with the connections between them made explicit.
Agentic AI — how autonomous agents are architected, how multi-agent systems are orchestrated, how to govern agents operating at speed and scale, and what it takes to deploy them safely in production enterprise environments.
The vendor landscape — how Microsoft, AWS, Google, Snowflake, Databricks, and Incorta have each built their GenAI platforms, what they are selling, and how to evaluate them against your actual architecture.
43 enterprise use-cases across 8 business functions — Finance, HR, Supply Chain, Marketing, Sales, Legal, Customer Service, and IT — including a deep-dive into the retail and apparel industry.
Governance and trust — the EU AI Act, NIST AI RMF, model risk management, hallucination, bias, privacy, and the organisational decisions that determine whether your AI programme compounds or stalls.
The career transformation — which roles are under pressure, which new roles are being created, how disruption differs across financial services, healthcare, retail, and technology, and a practical 90-day action plan for every function and seniority level.
7 original frameworks — the D&A Intelligence Flywheel, AI Trust Ledger, SPACE Model, Governance Debt Index, RADAR Assessment, 3-Horizon AI Roadmap, and the Human-AI Decision Spectrum.
14 executive primers — one page, one concept, decision-ready. Written for the leader who needs to walk into a board meeting informed, not overwhelmed.
WHO THIS BOOK IS FOR
Business and technology leaders who need to act — not study. Data and analytics executives building or governing AI programmes. Department heads who have been asked what GenAI means for their function. Anyone who wants to understand the technology clearly enough to make real decisions about it.
GenAI-Disrupt does not require a technical background. It requires a willingness to engage seriously with technology that is remaking the enterprise and the career in real time.
They have sat through the vendor demos. They have read the headlines. They know the numbers — $4.4 trillion in potential annual value — and they have been asked, in board meetings and budget cycles, to have a point of view. But the gap between knowing that GenAI matters and understanding how it actually works — what it is built on, how the components connect, where the risk lives, what it means for their team and their career — remains stubbornly wide.
GenAI-Disrupt was written to close that gap.
This is not a book about AI in the abstract. It was written from inside two decades of building enterprise data platforms at scale — at EMC, Oracle, Experian, DIRECTV, Visa, and Skechers — by a practitioner who is deploying these systems in production today. Every framework, every use-case, every governance principle in this book has been tested against the reality of enterprise data environments, not the idealised conditions of a research paper or a consulting deck.
WHAT THIS BOOK COVERS
The complete GenAI stack — from Governance and Trust at the foundation through Platform, Data, Models, Orchestration, and Applications. Each layer explained clearly, with the connections between them made explicit.
Agentic AI — how autonomous agents are architected, how multi-agent systems are orchestrated, how to govern agents operating at speed and scale, and what it takes to deploy them safely in production enterprise environments.
The vendor landscape — how Microsoft, AWS, Google, Snowflake, Databricks, and Incorta have each built their GenAI platforms, what they are selling, and how to evaluate them against your actual architecture.
43 enterprise use-cases across 8 business functions — Finance, HR, Supply Chain, Marketing, Sales, Legal, Customer Service, and IT — including a deep-dive into the retail and apparel industry.
Governance and trust — the EU AI Act, NIST AI RMF, model risk management, hallucination, bias, privacy, and the organisational decisions that determine whether your AI programme compounds or stalls.
The career transformation — which roles are under pressure, which new roles are being created, how disruption differs across financial services, healthcare, retail, and technology, and a practical 90-day action plan for every function and seniority level.
7 original frameworks — the D&A Intelligence Flywheel, AI Trust Ledger, SPACE Model, Governance Debt Index, RADAR Assessment, 3-Horizon AI Roadmap, and the Human-AI Decision Spectrum.
14 executive primers — one page, one concept, decision-ready. Written for the leader who needs to walk into a board meeting informed, not overwhelmed.
WHO THIS BOOK IS FOR
Business and technology leaders who need to act — not study. Data and analytics executives building or governing AI programmes. Department heads who have been asked what GenAI means for their function. Anyone who wants to understand the technology clearly enough to make real decisions about it.
GenAI-Disrupt does not require a technical background. It requires a willingness to engage seriously with technology that is remaking the enterprise and the career in real time.
418 pages, Kindle Edition
Published May 13, 2026
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