Treat AI risk management as adoption work

Risk controls are not the opposite of adoption. They are what make adoption repeatable. Govern: name ownership Someone must own the AI workflow, the acceptable-use rule, and the escalation path. If ownership is vague, employees will route around the process or stop using it. Map: define context and boundaries Map the use case before launch: users, data, decisions, affected customers, failure modes, and legal or brand risks. This turns abstract AI risk into the specific workflow people actually face. Measure and manage: close the loop Measure output quality, exception frequency, user confidence, and incidents. Manage means adjusting prompts, access, review…

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