Content Rationalization

Estates accumulate. The same policy exists in four versions across three systems, none marked authoritative; superseded procedures remain indexed; drafts sit alongside approved documents. For human readers this is navigable through context and scepticism. For a retrieval system it is corrosive, because all four versions are equally retrievable and the model has no basis for preferring the current one. Rationalization is therefore an AI prerequisite disguised as a content project.

Centralpoint surfaces the problem during ingestion rather than after: harmonization across source systems, duplicate detection, taxonomy placement and version identification happen as records are prepared for indexing. Duplication and superseded material are visible at the point they are cheapest to resolve, rather than after they have been embedded and started producing contradictory answers.