The trust problem nobody scopes correctly
When companies talk about trust in AI, they almost always mean trust in the model. Is the output accurate? Is it hallucinating? Can we rely on what it says?
Those are valid questions but they're the wrong starting point. The trust that actually determines whether AI gets adopted or quietly abandoned inside an organization isn't about the model. It's about the system surrounding it.
The four questions that determine
Every team evaluating AI in a production workflow eventually runs into the same four questions. Not about model quality. About operational control.
