Enterprise AI Transformation Model (EATM) From Pilots to Repeatable Value
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Enterprise AI Transformation Model (EATM)
From Pilots to Repeatable Value
Arghya Mandal
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.
The Enterprise AI Transformation Model, introduced in this book as Mandal EATM, connects ten lenses: Value, Data, AI Models, AI Systems, Business Integration, Risk and Governance, Operating Model, Value Realization, Value Reinvention, and Transformation Leadership. Together, these lenses help readers understand how decisions across business, technology and the organization must work together to create lasting value.
Through realistic and fictional cases, dialogue-driven scenarios and 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, EATM connects strategic ambition with the practical demands of enterprise execution.
Written for management students, educators and executive education participants, this book helps readers understand how AI becomes part of everyday enterprise work and delivers measurable, repeatable business value. It also serves executives, business and transformation leaders, consultants, business users, and professionals across data, AI, product, technology, operations, finance, risk, legal, governance, people and organizational change - particularly those helping organizations move from isolated AI pilots to coordinated programs.
Arghya Mandal is a seasoned enterprise data and AI transformation leader who shapes strategy and drives transformation across global organizations. As visiting faculty, he teaches enterprise AI transformation and business leadership to executives and management students, bringing practical enterprise experience into the classroom and workshop sessions.
| Publication Date: | 31 March 2027 |
| Publisher: | Taylor & Francis |
| Imprint: | Routledge |
| ISBN-13: | 9781041390534 |
| Format: | Hardback |
| Page Count: | 220 |