[When the AI answer is wrong]
You need your AI tool to fail in a way your team can handle
The answer looks right but cites the wrong file. A model change breaks the workflow. Nobody knows who should fix it.
The prompt is only one link
An AI workflow can fail through bad source data a changed model a broken integration or unclear access.
We trace the answer back to the source and the person who owns the next action.
What gets checked
The first review follows one failed answer or one blocked workflow.
- The question and the expected answer
- The source data and its access rule
- The prompt model and integration change
- The human review and stop rule
- The test and the support note
Keep the failure visible
A useful AI system shows when it lacks evidence. It gives your team a way to review the result and change the workflow.
The first step is a focused support review. You do not need to rebuild the whole AI system to find one broken link.