How institutions govern AI and adjacent emerging technologies as systems become more autonomous, adaptive, and embedded in consequential decisions. The work examines accountability, organizational design, deployment governance, and the institutional capabilities required when static rules are no longer enough.
The 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 institutional more than regulatory. 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.