COMPEL Glossary / pilot-to-production-gap
Pilot-to-Production Gap
The pilot-to-production gap describes the common phenomenon where AI proofs of concept demonstrate impressive results in controlled environments but never scale to full production deployment.
What this means in practice
Industry research indicates that 60-80% of AI pilots never reach production. The gap exists because piloting requires different capabilities than production: pilots need creativity and data science expertise, while production requires engineering discipline, governance compliance, cross-functional coordination, and change management. Organizations typically optimize for piloting without building the infrastructure for production -- MLOps pipelines, governance review processes, integration architecture, and user readiness. The COMPEL framework addresses this by requiring production deployment planning and ownership assignment before the first line of model code is written in the Model stage.
Why it matters
Industry research indicates that 60-80% of AI pilots never reach production, representing enormous wasted investment. The gap exists because piloting and production require fundamentally different capabilities: creativity versus engineering discipline, data science versus governance compliance and change management. Organizations that recognize and address this gap early avoid the pattern of impressive demos that never deliver business value.
How COMPEL uses it
COMPEL addresses the pilot-to-production gap by requiring production deployment planning and ownership assignment during the Model stage, before the first line of model code is written. The Produce stage enforces multi-pillar sprint delivery that includes MLOps, governance review, integration testing, and user readiness in parallel. The Process pillar (Domain 7-8) builds the engineering discipline needed for production operations.
Related Terms
Other glossary terms mentioned in this entry's definition and context.