Reality Check Map
Reality Check Map is a visualization tool that separates assumptions from facts by categorizing AI system elements as "Working," "Broken," or "Unknown," enabling teams to confront hidden breakdowns and knowledge gaps before scaling makes problems worse.
Scaling AI amplifies everything—including problems you didn't know you had. Organizations that scale before conducting honest reality checks often find that small pilot issues become enterprise-wide failures. The Reality Check Map provides a forcing function for honest assessment, creating shared visibility into what's actually ready for scale versus what needs more work.
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""Explain the Reality Check Map as if I'm a director of AI at a company that just completed a successful pilot and faces pressure to scale quickly. What makes the Working/Broken/Unknown framework valuable, and why should I slow down to use it?" For detailed context, reference: https://neurocollective.ai/glossary/reality-check-map"