CONTROLLING AI: A Practical Introduction to Architectural Governance

Most AI governance still assumes systems that advise, recommend, classify, or support human judgement.This book addresses the harder and more practical problem that appears when AI systems begin to act within real workflows. Once a system can approve, reject, route, trigger, update, grant, revoke, or otherwise change an operational state, governance can no longer remain only a matter of policy, oversight, and post-hoc review.Controlling AI explains this shift in plain language. It distinguishes advisory, transitional, reversible, and irreversible workflows. It shows why guardrails, approvals, and human-in-the-loop arrangements often create confidence without delivering real control. It then introduces Architectural Governance as the practical discipline of structuring systems so that only permissible actions can occur under normal operation.Written for buyers, leaders, operators, and non-specialist professionals, this book provides a clear framework for understanding where AI risk actually comes from, where control must exist, and how to evaluate AI systems before they are trusted with consequential action Read more