Tacit Risk: Practical AI Governance Before the Budget Cycle

TACIT RISK Practical AI Governance Before the Budget CycleA Field Manual for Reducing AI Risk Without Significant SpendAI governance is not failing for one reason. It is failing for two.The first: approved systems are being allowed to act without enough operational control. The second: organizations are waiting for budget approval, vendor selection, and program launch before doing anything beyond standing up a governance council.Tacit Risk is a practitioner field manual for executives, CISOs, risk leaders, legal teams, and governance professionals who need to reduce AI risk before the next budget cycle, platform purchase, or enterprise transformation program arrives.Most organizations are building the visible furniture of AI governance: councils, policies, inventories, principles, dashboards, and review records. Those artifacts matter. But they do not, by themselves, determine what an AI system is allowed to do, whose authority it uses, what data it can reach, which actions it can take, or how execution can be stopped when conditions change.This book focuses on the gap between governance posture and operational control.Tacit Risk provides a set of practical governance interventions that can be initiated without launching a major program, buying a new platform, hiring a new team, or waiting for the annual planning cycle.Inside this book:Why your AI governance council is not the control layerWhy approval is not authorization — and what fills the gapHow to identify invalid execution before it becomes lossWhy a review that cannot stop the workflow is theaterWhat AI agents need before they can be governedHow to leave evidence before you need itTacit Risk is not a manifesto, trend essay, or abstract framework. It is a working document for leaders who need practical control over AI systems that are already entering the business.AI is no longer an emerging risk. It is already core infrastructure. The question is whether your governance can still reach the place where systems act. Read more