How do the pieces work together rather than as separate tools?

Point tools that each solve a piece of the problem leave the integration to the customer, and the seams are where governance fails — a classification applied in one system that the retrieval layer does not read, or an access rule the AI layer cannot see.

In Centralpoint a record's classification, audience assignment and taxonomy position are set once during ingestion by Data Cleaner and Data Transfer, and every subsequent surface reads them: the Vector Index respects them when embedding, retrieval respects them when scoping, the Skill Manager loads governance rules ahead of anything retrieved, SkillTokenBudget bounds what the execution may spend, and the Interaction Log records the whole assembly. No seam requires the customer to keep two systems in agreement.