Most practitioners review prompts, models, and tools.But the real bottleneck usually hides in the business logic wrapped around the AI.
A solid AI audit looks past the technical layer and examines the decision architecture:
- Where does the AI’s output go?Is it activating a real decision, or just generating orphaned information?
- What rules guide human overrides?If the logic isn’t explicit, the AI cannot reason with it.
- Which decisions are reversible vs. irreversible?This determines how aggressive the automation can be.
Technical reviews catch errors.Logic reviews prevent bad systems from being built in the first place.
Elite AI partners don’t ask, “How do we improve the accuracy?”They ask, “What decision is this model supposed to empower—and what happens after it fires?”
If you don’t audit the decision logic, you’re only auditing half the system.