AI Transformation is not a Technology Problem. It Is an Enterprise Design Problem
New Fast Company Press book outlines how organizations can redesign their operating models, not just the technologies they deploy, to realize the promise of artificial intelligence.
"Many business books tell you what to think. Very few tell you what to build. This one tells you exactly what to build and how to do it, starting Monday morning."
— John Chambers, Former Chairman & CEO, Cisco Systems
"The Enterprise Brain names what AI resistance actually is: an identity crisis. That single insight reframed how I approach every transformation conversation."
— Keith Ferrazzi, #1 New York Times bestselling author of Never Eat Alone
"The winners will be the ones who can turn intelligence into consistent action."
— Philip Behn, Partner, McKinsey & Company
Despite billions invested in artificial intelligence, many organizations continue to struggle to translate experimentation into meaningful business impact. In The Enterprise Brain: Rewiring Your Business for the AI-Native Era (Fast Company Press, June 30, 2026, $29.99), Ragy Thomas, Sravan Vadigepalli, and Chandhu Nair make the case that the gap has little to do with the quality of the technology and everything to do with how enterprises are designed.
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The Enterprise Brain is available everywhere books are sold.
Already a #1 Amazon Bestseller in Artificial Intelligence Expert Systems, the book draws on more than five decades of combined experience leading enterprise technology, AI, and business transformation to introduce the Enterprise Brain: a framework for connecting people, processes, data, and AI into a system that can learn, adapt, and scale intelligence across the organization—shifting the conversation from AI adoption to organizational architecture.
The book shifts the conversation from AI adoption to organizational architecture.
"Most organizations are treating AI as a technology deployment challenge," said Chandhu Nair, senior vice president of Data, AI, and Innovation at Lowe’s Companies, Inc., and coauthor of The Enterprise Brain. "The larger challenge is organizational. The companies that succeed will redesign how decisions are made, how knowledge flows, and how intelligence is applied across the enterprise."
"Most companies are training their people on how to use AI. That's useful, but it misses the bigger shift," said Sravan Vadigepalli, who leads the AI-native enterprise platform at Lowe's and is coauthor of The Enterprise Brain. "The role of the knowledge worker is fundamentally changing — from doing the work to designing and governing the systems that do the work. We call it the Governor Shift, and it's the part of AI transformation that very few organizations are preparing for."
The Enterprise Brain provides practical frameworks for CEOs, board members, technology leaders, operators, and transformation executives seeking to move beyond isolated AI initiatives and build intelligence into the fabric of their organizations. Covering topics such as organizational cognition, human-machine collaboration, decision architecture, governance, and trust, the book offers a roadmap for making intelligence a foundational business capability rather than a specialized function.
The Enterprise Brain is available June 30, 2026, everywhere books are sold.
About the Authors
Ragy Thomas is the co-founder and co-CEO of UnifyApps, the platform for building the Enterprise Brain, and the founder and chairman of Sprinklr (NYSE:CXM). Over more than 20 years as a serial entrepreneur, he has helped shape major shifts in enterprise technology, from social media to unified AI.
Sravan Vadigepalli leads the AI-native enterprise platform at Lowe’s. He has spent more than a decade helping Fortune 500 retailers transform how they use data and artificial intelligence and serves on the Corporate Advisory Board at Oklahoma State University.
Chandhu Nair is senior vice president of Stores, Data, AI, and Innovation at Lowe’s Companies, Inc., where he leads enterprise AI, data, and technology initiatives focused on redesigning how large organizations operate.
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