The rules for governing AI are being written in real time, and most organizations using it still have no formal way to govern it. Regulators are converging on lifecycle oversight, continuous monitoring after deployment rather than a single point-in-time review, and the expectation is shifting from box-checking compliance toward organizational design.
Our Responsible AI work starts from a structural premise: the systems built for predictable, point-in-time AI are not enough for agentic systems and continuous-oversight regimes. The gap is not regulatory but institutional. Closing it means reorganizing model risk, compliance, technology, and legal functions into integrated governance that runs on a different clock than the traditional examination cycle.