
The demo-to-production gap is killing AI agent deployments
Between 70% and 95% of AI agent projects never reach production—and the gap between an impressive demo and reliable deployment has become the silent killer of ambitious AI initiatives.

Between 70% and 95% of AI agent projects never reach production—and the gap between an impressive demo and reliable deployment has become the silent killer of ambitious AI initiatives.

The AI platform lock-in cycle is compressing years of the typical vendor capture playbook into months. The window for intentional choices is smaller than you think.

Most organizations making this decision are optimizing for the wrong thing. They're asking 'what's the fastest path to having an AI agent?' when they should be asking 'what's the fastest path to being able to build AI agents?'

There's a gap between 'can we build this?' and 'should we build this?'—a gap that becomes visible only when you understand what production-grade AI infrastructure actually requires.