For the leaders who are asked to answer for systems they did not build,
using data they do not own, under rules that are still being written.
Every executive I know has sat through the same meeting. Leadership approves
an ambitious AI agenda. Teams rush to pilot copilots, predictive models, and
automated workows. Six months later, the question in the room is no longer
“Did the model work?” It is “Whose data was this? Can we trust it? Who is accountable
when it is wrong?” By the time those questions arrive, governance
has become a re drill instead of a foundation.
This book is written for the people in that room. It is for chief executives,
chief information and digital ocers, chief data ocers, chief risk ocers, general
counsel, board members, and the operating leaders who now nd themselves
answering for decisions made by systems that learn, generate, and increasingly
act. It is not a compliance manual and it is not a technical handbook. It is
a leadership operating model.
My central claim is simple. Governance is no longer overhead that sits on
top of the business. It is the operating discipline that determines whether data,
AI, and digital platforms create durable value or accumulate hidden liabilities.
The enterprises that win the next decade will not be the ones with the most
models. They will be the ones that can say, at any moment and with evidence,
who owns each consequential decision, what risk they have accepted, why that
risk is worth taking, and how they will know if something goes wrong.
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