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What happens when a credit model becomes more confident than the evidence beneath it? Credit automation works best when the borrower, data and decision are predictable. Outside that boundary, better models can create greater confidence without greater understanding. From scorecards and machine learning to AI, the real challenge is knowing what can be automated, what still requires judgement and how institutions should govern the space between them.