How is content rationalization an AI problem rather than a content project?

Human readers navigate messy estates through context and scepticism — they know the 2019 folder is stale. A retrieval system has no such basis: all four versions are equally reachable and equally citable, so contradictory answers arrive with equal confidence.

Centralpoint addresses it during ingestion rather than after. Harmonization across source systems, duplicate detection, taxonomy placement and version identification happen as records are prepared for indexing — so the rationalization work produces a governed corpus rather than a tidier repository, and the AI layer inherits authority rather than ambiguity.