AI Governance Doesn’t Need to Start Big

I was recently contacted by a professional on LinkedIn about my experience with commercial AI governance platforms. The assumption behind the question was clear: that “AI governance” is something that requires a formal product, a structured framework, or a sufficiently large organization before it becomes relevant. In my experience, that assumption is backwards. Governance doesn’t begin when you adopt a platform; rather, it begins the moment you introduce AI into a system. The Common Assumption There’s a tendency to think about governance as something that arrives later: once the system becomes complex enough once there are enough users once risk becomes visible once the organization can justify the investment At that point, teams start evaluating: governance frameworks compliance tooling vendor platforms Until then, governance is often treated as optional, or deferred entirely. The Problem With Waiting The issue with this approach is not that governance tools are unnecessary. It’s tha