| Category: | Business and Investing |
|---|---|
| Author: | Manish Sood, Venkat Venkatraman |
| Publisher: | Forbes Books |
| Publication Date: | September 15, 2026 |
| Number of Pages: | 280 |
| ISBN-13: | 979-8887508566 |
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 is the bracing wake-up call that powers Agentic Intelligence,
in which Reltio founder Manish Sood and Boston University strategist Venkat
Venkatraman argue that the next era of competition will not be won by intuition
or algorithms alone, but by “agentic intelligence”: humans and machines
sensing, understanding, deciding, and acting together on trusted, unified,
real-time data. The book features ten rules across three movements: Strategic
Intent, Invest to Monetize, and Implement to Win. The authors are very blunt in
their message to readers: stop collecting data and start connecting it, because
strategy can no longer be a quarterly ritual or a static plan; it must become a
living nervous system that runs at the speed of data itself.
The authors braid academic rigor with practitioner scars,
moving from a fictional hospital’s transformation and a cautionary studio’s
slow, quiet collapse to hard-edged cases—JPMorgan Chase, AbbVie, Walmart, Rolls-Royce,
Zara—exploring themes of data velocity, agentic literacy, and governing
autonomy ‘in motion.” The book convincingly portrays AI not as a technology
project but as a total organizational redesign, demanding new capital
discipline, workflows, and entirely new trust architectures. The message is
delivered with rare conviction, clarity, and genuine urgency. This book is for board
members, CEOs, and mid-career leaders trapped in pilot purgatory. It is equally
valuable for policymakers, consultants, and students entering a workforce where
human-machine collaboration will be table stakes. Agentic Intelligence appeals
to a wider audience for its narrative-driven, jargon-light, and refreshingly
honest approach to the unglamorous plumbing work of data unification. A rare AI
book that tells you not what to buy, but what to become; otherwise, the future
quietly decides for you.
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