About the Author
Ashish Warudkar is a systems engineer, strategist, and author whose career spans four decades at the intersection of complex systems, enterprise transformation, and artificial intelligence. An
alumnus of IIT Bombay, UC Irvine, Harvard, and MIT Sloan, Ashish has served in advisory roles across technology, healthcare, and consulting organizations including Ernst & Young. His
lifelong pursuit has been to understand how intelligence—human, organizational, and synthetic—achieves stability amidst complexity.
He is the creator of GUDIYA (Governance Utility for Decision Identity Yielding Auditability), a
pioneering framework that redefines how enterprises govern AI, cognition, and systemic performance at scale. His work unites systems science, cybernetics, and governance engineering
into a single, integrated vision—one that positions stability as the next frontier of intelligence. Through his “Manhattan Project 2.0” initiative, Ashish is advancing the architecture of large- scale cognitive grids—civilian and military—aimed at ensuring that the coming era of
autonomous AI remains synchronized, traceable, and safe for civilization.
About the book
A brief About the book
“The Manhattan Project 2.0” is a journey into the future of intelligence itself — not artificial, but
amplified. Written at the crossroads of systems science, economics, and AI governance, this book
introduces the GUDIYA — a revolutionary framework for governing cognitive systems at scale.
Across 250+ chapters and hundreds of original diagrams, the author unifies decades of
engineering, strategy, and systems thinking into a single narrative: how humanity can stabilize
the age of synthetic cognition. From the physics of balance to the geopolitics of intelligence,
from enterprise decision dynamics to the architecture of national cognition grids, this book is
both a technical blueprint and a philosophical map for navigating the cognitive century. It is not
a book about AI Algorithmics — it is a book about how the IT industry must grapple with some
very significant shifts – from Deterministic Computing to Cognitive Computing and from
Complex Engineered Systems(CES) to Complex Adaptive Systems(CAS), learning how to coexist,
cooperate, and govern in a world where intelligence itself has become a living system.
