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AI decision governance is the practice of evaluating whether an AI-driven action is allowed before execution.
Use this page to connect governed decisions to the control point before execution.
AI decision governance is the practice of evaluating whether an AI-driven action is allowed before execution. It is different from broad policy writing or passive monitoring because it directly affects whether the action can proceed.
Governance only becomes real when it changes what the system is allowed to do. Oversight after execution may help with review, but it does not prevent the action that already happened.
Decision governance operates at the point where systems move from proposal to action. That execution boundary is where policy, authority, and risk need to be resolved before commit.
PFC implements AI decision governance by evaluating actions before execution and returning a governed result with evidence. That gives the calling system a concrete control decision it can enforce before any protected action proceeds.