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AI Everywhere, Transformation Nowhere
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About the Book
Adoption is fast. Transformation is not. Surveys report that most large organizations now use AI somewhere, while only a small minority report value at scale — and the strongest reported link to earnings is not the technology at all, but whether the work around it was redesigned. This book explains the gap.
Growth requires specialization. Specialization divides knowledge among functions and systems. People then reconnect the fragments by searching, translating, chasing, reconciling and reporting — and working inside those fragments shapes what leaders notice, value and believe possible. When AI arrives, it is naturally purchased as departmental use cases. A technology capable of changing the connections is made to reproduce the boxes.
Written for chief executives, finance and operating leaders, it replaces the use case with the coordination domain, puts a cost on the human layer, and sets out what a company must actually change — and what it should want for the people whose attention it stops spending as bandwidth
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Author
About the Author
Muralikrishna Sridhar
Dr. Muralikrishna Sridhar is an experienced AI leader with a strong background in managing large-scale AI initiatives, driving business transformation, and scaling AI-driven solutions across industries. With a PhD in AI and a postdoc from the University of Leeds and visiting researcher at Stanford Research Institute, he has successfully led AI strategy, execution, and customer engagement in automotive, construction, and manufacturing for more than 15 years. As a successful entrepreneur, Krishna has co-founded CONXAI Technologies GmbH - a company that provides cutting edge AI solutions for the construction sector. He also co-founded Sparsa AI GmbH, pioneering AI-Agentic innovations for the real economy. Through these ventures, he has been at the forefront of advancing AI solutions that revolutionize industrial operations, human -machine collaboration, and decision-making in real-world enterprise environments. At Accenture, he plays a key role in shaping the AI Agent strategy, defining roadmaps, and driving execution— ensuring AI agents are not just technological innovations but practical solutions that deliver measurable business impact. His expertise lies in bridging AI with enterprise operations, enabling organizations to integrate intelligent automation seamlessly into their workflows.
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