A more capable model doesn't fix a wrong answer. It delivers it faster, in a more confident sentence, with nothing to tell anyone it's wrong.
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Old software returned an error. AI returns a stale policy as a confident, grammatical, authoritative sentence. The only signal anyone gets is fluency, and it's fluent whether it's right or wrong.
Exposure surfaces what should never have been visible. Accuracy surfaces what's simply wrong. Obscurity hid the first, the human filter caught the second. AI removed both at once.
Not the model, the licensing, or the appetite. Whether the content underneath can be trusted at full-rollout scale. The paper shows how to know, and how to keep it that way.
The only real question is whether you do it before your board asks you to.
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