What breaks first in enterprise AI projects?
Usually the data layer. The model looks smart in demos, then fails when permissions, stale docs, and messy metadata enter the picture.
What should teams fix before buying more models?
Access control, source freshness, document ownership, and retrieval quality. Those decide whether the AI is useful.