Mental Model Audit
Most teams have no structured way to find out where their AI is failing before users do. Usability tests come too late. QA checks whether the system works, not whether it makes sense to the person using it. Sentiment scores tell you something broke after it's already cost you a customer.
The Mental Model Audit tests your AI against three layers of trust: whether it does what the user needed, whether it behaves in a way the user can follow, and whether it feels right to interact with. Each layer is scored pass or fail, and a pass in one layer doesn't cover for a failure in another. Your AI can complete the task correctly and still lose the user's trust if it asks for information it already has, or talks over them when they try to interrupt. That failure is real even when the task itself worked.
