top of page
Governing the Intelligent Enterprise
When Intelligence Shapes Decisions
As intelligent systems become embedded in enterprise capabilities, they increasingly shape consequential decisions. Overruled gives boards and executive leaders a doctrine for identifying where judgment resides, recognizing when decision authority has shifted into systems, and governing that authority over time.
—FARRUKH ZAFAR
Author, Overruled
Columbia Business School Publishing
"...this book convincingly argues, if leaders do not deliberately decide where authority over AI should reside, that decision will quietly be made for them by technology, processes, and organizational habits.”
—CHRISTIAN TERWEISCH
Professor, The Wharton School
Praise for Overruled
Selected endorsements from executive leaders
"With AI revolutionizing nearly every aspect of every business, this book is a timely roadmap for reframing AI governance beyond risk and compliance. It's a must-read for board members and executives of companies using AI—which should be any company that wants to survive.”
—GEORGE WILCOX
Former President, Bessemer Trust
“This book is an excellent new resource for Directors and Senior Executives on how to manage the integration of AI with disciplined oversight and stewardship—aligning governance with expanding AI-driven initiatives for more consistent results and stronger controls.”
—RAYMOND WAREHAM
Former Vice Chairman, Rockefeller Capital Management
"This book compels us to re-examine effective governance in an environment of rapidly evolving intelligent systems. Both diagnostic and prescriptive, it equips boards and leaders to steward judgment where it now truly resides.”
—MARC MAYER
Former Chief Executive Officer, Manning & Napier
Inside the Book
A Governance Roadmap for Intelligent Enterprises
Six Parts. One Governing Question: How should intelligent enterprises be governed as decision authority becomes embedded in data, processes, workflows, and technology?
Part I: How Intelligent Systems Reshape Authority
Where is consequential decision authority moving as intelligence becomes embedded in enterprise capabilities?
Part II: Governing Intelligent Systems
Who remains accountable when AI materially influences institutional decisions?
Part III: The Enterprise Control Gap
What shapes critical decisions before anyone formally approves them?
Part IV: Governing Intelligent Transformation
When do intelligent capabilities become operational necessities requiring new governance?
Part V: Governing the Intelligent Lifecycle
How should embedded intelligence be governed throughout its lifecycle?
Part VI: The Leadership Imperative
How should embedded intelligence be governed as it becomes integral to the institution?
bottom of page