06/03/2026
Most AI pilots look impressive until they hit production.
That is usually when the real issues show up: messy data, disconnected systems, unclear ownership, and no operating discipline strong enough to support scale.
The hard part is not picking the model.
It is preparing the environment around it.
AI does not create operational discipline. It exposes where it is missing.
That is why strong teams start with architecture, governance, data quality, and workflow design before they start chasing use cases.