Taxonomy-Scoped Retrieval

Scoping by taxonomy narrows a retrieval surface using the organization's own structure rather than using keyword filters bolted on afterwards. The advantage is precision with explanation: a prompt bound to the clinical protocols branch retrieves within it, and the reason a given record was or was not eligible is visible in its classification. The dependency is a taxonomy that reflects how the organization actually thinks, which is why taxonomy work that looks like a content exercise turns out to be an AI prerequisite.

Taxonomy assignments are properties of records in Centralpoint, so scoping a prompt to a branch constrains retrieval structurally rather than by post-filtering results. Terms, aliases and hierarchy are maintained by the business, which means the vocabulary governing AI retrieval is the vocabulary already governing the content estate.