Is your AI system actually allowed to act?

Most teams focus on:

• accuracy

• performance

• latency

• logs

But ignore one question:

Was the system allowed to act on that state at that moment?

A system can be:

• deterministic

• replayable

• fully logged

…and still fail audit.

Because it executed something that was never admissible.

So I’m curious:

👉 How are you validating decision admissibility in your system?

• Do you enforce it before execution?

• At commit?

• Or only rely on logs after the fact?

Would love to hear how others are thinking about this.