What kind of “proof” actually satisfies compliance teams?

[AI-God-Dev]

A recurring question for us has been what level of evidence is actually useful to compliance and audit teams when it comes to AI pipelines.

Is it enough to show:

• architecture diagrams?
• logs and policies?
• deterministic behavior?
• or does it need to be something stronger?

Curious how others have seen this handled in practice, especially when cloud AI models are involved.