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AI-MYTHS-VS-REALITY5 MIN READ

Turn benchmark excitement into deployment discipline

Convert benchmark performance into a deployment readiness checklist.

The team reframes a model leaderboard as the start of evaluation, not the end. Before: a benchmark-style slide is treated like readiness evidence. After: the team builds a local competence check. From global score to local task. The after state asks whether the model can handle month-end variance explanations, not whether it ranks well in general. From accuracy-only to multi-metric. The local check includes uncertainty, policy exceptions, false confidence, and human review thresholds. From model authority to workflow ownership. The team decides where AI drafts, where humans approve, and what happens when the model is unsure. A leaderboard is a…

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