Agentic Intelligence: Strategy at the Speed of Data

5 Star Review

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Editorial Book Review:

By Raquel Homes

Your AI strategy is not failing because the models are weak. It is failing because your organization cannot think at the speed of its own data. That opening provocation from Manish Sood and Venkat Venkatraman is the kind of sentence that earns its place in the first paragraph because it is both immediately uncomfortable and verifiably true. Most organizations sitting on enormous data estates are still making decisions at the pace of last quarter’s report, which means that deploying more sophisticated AI on top of fragmented, siloed, untrustworthy data produces faster wrong answers rather than competitive advantage.

Agentic Intelligence is the most practically grounded guide currently available to changing that, and the combination of perspectives behind it is exactly what this subject requires. Sood built Reltio, a context intelligence company, from the conviction that unified, real-time data is not a technical nice-to-have but the actual substrate on which strategy now runs. Venkatraman has spent decades as one of the leading academic authorities on digital business strategy at Boston University. Together they bridge the gap between what organizations are doing with data and AI right now and what the agentic era actually demands from their infrastructure, governance, operating models, and workforces.

The three strategic pillars organizing the book, Strategic Intent, Invest to Monetize, and Implement to Win, give the framework enough structure to be actionable without the kind of rigidity that makes business books feel dated six months after publication. The ten rules embedded within those pillars address data unification, trust, governance, AI-ready workforce development, and operating model design with the specificity that most AI strategy books deliberately avoid because the specificity is hard.

What makes the book accessible to a general business audience is the deliberate decision not to write for engineers or data scientists. This is a book for the leaders who will decide whether their organizations make the transition or get left behind, and Sood and Venkatraman write for those leaders without condescension and without sacrificing the substance that makes the guidance genuinely useful.

For any executive still wondering whether the data and AI conversation belongs in the boardroom, this book answers that question definitively and then tells you exactly what to do about it.