Enterprise AI Transformation Model (EATM)

Whether you are aiming to align AI with strategic goals or focused on operational execution, this book offers a practical model for bringing fragmented AI initiatives into coordinated enterprise transformation, addressing AI debt and creating repeatable business value. Developed through the author’s work with organizations, the Mandal Enterprise AI Transformation Model (EATM) connects ten lenses: Value, Data, AI Models, AI Systems, Business Integration, Risk & Governance, Operating Model, Value Realization, Value Reinvention, and Transformation Leadership. Together, they help readers understand how decisions across business, technology and the organization must work together to create lasting value. Through realistic cases, dialogue-driven scenarios and practical illustrations, readers learn how to identify and prioritize AI opportunities, establish dependable data and intelligence, build reliable systems, embed AI into workflows, assign ownership, govern responsibly, measure business impact and discover new opportunities for value creation. Covering predictive, generative and agentic AI, the book connects strategic ambition with the practical demands of enterprise execution. Particularly valuable for organizations moving from isolated AI pilots to coordinated programs, this book is written for executives, business and transformation leaders, consultants, and professionals across data, AI, product, technology, operations, finance, risk, legal, governance, people and organizational change. It also supports business users, management students and educators seeking to understand how AI becomes part of everyday enterprise work and delivers measurable, repeatable value.