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Enterprise AI pilot-to-production gap: Root causes & how to address them
Enterprise AI initiatives overwhelmingly stall at the pilot stage due to structural misalignment between experimental infrastructure and production requirements, with only ~23% of organizations successfully scaling AI into operations. The article diagnoses root causes—including disconnected evaluation metrics and sandboxed development environments—and outlines how technology leaders can bridge the gap to measurable business outcomes.
Built for AI agentsACO · 9627 tokens
Summary
Enterprise AI initiatives overwhelmingly stall at the pilot stage due to structural misalignment between experimental infrastructure and production requirements, with only ~23% of organizations successfully scaling AI into operations. The article diagnoses root causes—including disconnected evaluation metrics and sandboxed development environments—and outlines how technology leaders can bridge the gap to measurable business outcomes.
Tags
enterprise-ai · pilot-to-production · ai-scaling · digital-transformation · ai-adoption · production-deployment · ai-strategy
Key entities
McKinsey & Company (organization, 0.99) · Capgemini Research Institute (organization, 0.97) · AI pilot-to-production gap (concept, 0.98) · AI scaling (concept, 0.92) · generative AI adoption (concept, 0.85) · AI agents (concept, 0.82) · State of AI 2025 report (event, 0.9)
Classification
analysis · language en · status final
Provenance
claude-opus-4-6 via @stacklist/mcp-server@2.0.0, confidence 0.85, 8 Jun 2026