Why Your AI Pilot Wont Make It to Production (And What to Do About It)
Summary
AI pilots often fail to reach production because enterprises lack production-grade data governance, not because models or connectivity don't work. The article outlines four governance blockers—data access controls, auditability, hallucination prevention, and data provenance—that pilots typically hide but production environments must solve. It argues that technical connectivity (e.g., via MCP) is largely solved, shifting the problem to governed connectivity that enforces business rules, security, and auditability at query time. The piece provides a production-readiness checklist and positions Simba Intelligence as a platform that applies business semantics and query-time governance to live enterprise data to prevent governance debt.
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