The Real Reason Enterprise AI Pilots Stall Before Production

Short summary

80-90% of enterprise AI pilots never reach production, not because models are inadequate but because infrastructure—governance, observability, data pipelines, and security—was an afterthought. Companies that succeed ask hard questions about reliability and auditability before signing contracts, treating AI as real infrastructure rather than a demo feature. The distinction between an AI vendor and a genuine enterprise AI company comes down to whether governance was architected in or bolted on later.

• •80-90% of AI pilots stall due to infrastructure gaps, not model quality
• •Governance, auditability, and security must be part of original architecture
• •Companies that succeed evaluate long-term reliability before committing

Generated with AI, which can make mistakes.