Observed arrival · 2026-09-23
AI-Gov-Dojo puts governance practice inside a 72-hour bank crisis
A NIST AI RMF training simulation asks participants to assess a fictional bank’s AI risks and build governance artifacts.
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- AI governance practitioners and working groups
- Worth noticing
- The fictional case includes nine AI systems, a 12-exhibit evidence room, four RMF functions, and a decision deadline.
Field notes
The case frames the work as a working-group simulation: Cedarwell Bank is fictional, while the laws, standards, and framework references are described as real. Participants are asked to separate known, inferred, missing, disputed, and time-sensitive evidence before connecting their findings to an operating decision. The listed workbench includes memo and workspace export controls, and the page says the track produces 27 portfolio artifacts.
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