Most organisations already know they need “governance.” The harder question is what to govern first, so delivery teams are not blocked while risk stays under control.
Start with the decision trail
If you cannot explain why a model answered the way it did, you cannot defend it under scrutiny. Logging, traceability, and human review paths should be designed with the use case, not bolted on after go-live.
Boundaries beat blanket bans
Blanket restrictions tend to push work into shadow tools. Prefer explicit boundaries: which data classes, which actions require approval, and which environments are in scope. Teams ship faster when the rules are legible.
Operational ownership
Governance lives in runbooks, not slide decks. Name who owns prompt updates, model changes, and incident response - and how those changes are tested before they hit production users.
When these pieces are in place, scaling from pilot to production stops feeling like a leap of faith - and starts looking like a managed operational transition.
