What does a bad AI governance deployment look like?

The pattern is consistent. An accessible repository is indexed quickly, a capable assistant is demonstrated, confidence builds, and sensitive content is added without the classification pattern ever being proven. A year later nobody can state what is in the retrieval surface, the rules have drifted, and the first real audit question cannot be answered.

The alternative sequence is deliberately slower at the start: characterize the estate, build the governance dictionary, prove classification and entitlement on genuinely sensitive material, then extend. Centralpoint is built for that order — which is why the first milestone is usually a defensible surface rather than an impressive demonstration.