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- Creators/
- Nate B. Jones — AI News & Strategy Daily/
- 95% of AI pilots never reach production. The implementation audit that finds out why before your next budget cycle/
95% of AI pilots never reach production. The implementation audit that finds out why before your next budget cycle
Substack · Article
- Core argument: the strategic moat in enterprise AI is not model access but implementation architecture — the technical and operational infrastructure that transforms demos into production workflows handling real business processes. “95% of AI pilots never reach production” because companies confuse the two.
- Identifies a mid-market opportunity: companies with real workflow complexity but insufficient internal engineering to operationalise AI — where major players (Anthropic, OpenAI, private equity) are now investing in deployment services.
- Frames the diagnostic question as: does your AI product “own a workflow or decorate a model?” — i.e., does it have a specific role in a specific workflow with the right data, permissions, review process, and success metric, or is it an impressive internal showcase?
- Includes an implementation architecture audit tool, promised to score readiness across six components before a budget cycle.