Classify an AI vendor choice by impact tier before comparing features.
The reframe: do not ask whether the vendor is impressive until you know what harm a miss could create. Impact before features A low-impact AI tool can be evaluated with lighter evidence because a failure is visible, reversible, and unlikely to affect rights, money, safety, or trust. A high-impact tool needs stronger controls because the same accuracy number can hide very different consequences. Four tiering signals Look at affected people, data sensitivity, automation influence, and reversibility. A tool that drafts internal copy is different from one that ranks candidates, approves refunds, flags fraud, or recommends medical next steps. What tiering…
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