Talk Overview
Your AI pilot worked. Leadership loved the demo. And then… nothing.
Nearly two-thirds of organizations are stuck in pilot purgatory — AI experiments that proved feasibility but never reached production. The problem isn’t the technology. It’s that nobody defined what “ready to scale” looks like before the pilot started.
The Inverted 3 Horizons Framework
This lightning talk introduces the inverted 3 Horizons framework — not as a maturity model, but as a metrics migration framework. Each horizon demands a fundamentally different type of measurement:
- H3 (Feasibility): Does it work?
- H2 (Value): Is it worth it?
- H1 (Scale): Can we operate it?
Most pilots stall because organizations keep celebrating H3 feasibility when they should be measuring H2 value.
Key Takeaways
- Gate criteria and time boxes that define “ready to advance”
- The three traps that kill the pilot-to-production transition
- Why proving “it works” isn’t enough to reach production
