05Insight
AI arrives in an organization long before anyone decides to adopt it. Governance starts with deciding who owns the question.
Most organizations did not decide to adopt AI. It arrived: inside products they already use, in tools their teams found for themselves, and in projects that started as experiments.
Governance is how an organization catches up with that, and gets ahead of it.
Before policy, before tooling, someone has to own the question.
Start with ownership
The first step is not a policy document. It is deciding who is accountable for how AI is used. Without an owner, every other control is optional. With one, the organization has somebody who can say yes, no, or not yet.
Know what is in use
You cannot govern what you cannot see. A simple inventory of where AI is used, what data it touches and who relies on its output is worth more than a long framework that nobody has mapped to real systems.
Treat it as risk, not novelty
AI raises familiar questions in a new form: security, privacy, accuracy, accountability and regulatory compliance. The organizations that handle it well bring it into the risk and assurance processes they already trust, and keep the oversight proportionate to what is at stake.
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