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The Philosophical and Mathematical Foundations of Agentic AI
Information, Organization and Human Agency
About
About the Book
For forty years, enterprise software made organisational memory durable and rules executable. It also divided the organisation’s representation of itself among specialised systems, and left people to carry meaning across the gaps.
Meetings, reminders, reconciliations and reports are the error-correcting code built around the limits of that human channel. This book gives that condition a measure and a name. Using information theory where it makes a relationship exact, and plain argument elsewhere, it shows why an organisation can know a thing that none of its members can reach — and why every new system can add to the burden it was bought to relieve.
Agentic AI matters because software can now begin to occupy the interpretive middle. The opportunity is not a smarter interface inside another application. It is a change in the channel through which an organisation knows and coor dinates itself — available only to firms that can escape the categories the old operating model produced
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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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