WorkThe story, in brief
AI interoperability and layered trust emerge as the real unlocks for enterprise scale
Two-thirds of AI pilots never reach production. Here's why enterprise governance is the real bottleneck.
The KeyNews take
Why it matters
Enterprise AI adoption is stalling not because models are weak, but because organizations lack governance frameworks and interoperability standards. This shifts the conversation from model capability to operational readiness — a critical inflection point for enterprise buyers and investors.
The key facts
5 to know66% of AI pilots fail to scale to production
Enterprise AI governance identified as critical barrier to ROI
AI interoperability and layered trust frameworks emerging as key enablers
Focus on scalability, predictability, and measurable business outcomes
Article date: May 2026 (future publication — verify accuracy)
Go to the source
SiliconAnglesiliconangle.com
Publisher excerpt: Enterprise AI governance is becoming increasingly important as organizations race toward ROI, demanding AI systems that are scalable, predictable and built to deliver measurable business outcomes. With research estimating that two-thirds of AI pilots stall before reaching production scale, most…