10decodersYour AI pilot worked in the demo. Then it stalled.
Most enterprise AI pilots never reach production \u2014 and it's rarely the model's fault. In 10 questions, find the exact blocker that stopped yours, and what it takes to get past it.
Pilots don't fail on the algorithm. They stall on everything around it.
A working proof-of-concept and a production system are two different engineering problems. The gap is usually one of five things \u2014 and knowing which one is the whole battle.
The data wasn't ready
Scattered, unlabelled, or manually prepped for every run \u2014 impossible to sustain in production.
It never touched real systems
A sandbox demo that couldn't integrate with the workflows and tools the team actually uses.
No one owned it
The demo impressed, then the champion moved on and there was no mandate or success metric.
Security stopped it late
HIPAA, PHI, or PII review surfaced only when it was time to scale \u2014 and became a hard blocker.
Infra couldn't scale
Built to demo, not to run \u2014 with no path to production infrastructure or a provable ROI case.
Find out why yours stalled
Ten questions across the five dimensions that decide whether a pilot ships. Answer honestly \u2014 the score is only useful if you do.
