Design a local AI competence check from a promising demo.
The AI produced excellent risk summaries from five clean audit notes, and the team is considering production use. Build a local competence check: representative cases, hard negatives, scoring rubric, and use boundary. The novice move is to ask for more polished examples. That repeats the capability demo instead of testing messy workflow performance. Step 1 Sample representative cases: 10 clean, 10 normal messy, 10 high-risk edge cases. Competence depends on the distribution of real work, not just the easiest inputs. Step 2 Define scoring before outputs: evidence link, missing-data flag, policy fit, tone, and reviewer correction time. Predefined scoring prevents…
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