Document Classification

Classification is the decision every other control depends on, and the one most often deferred because it is genuinely difficult — requiring subject knowledge, policy judgement and a vocabulary many organizations have never formalized. Manual classification works to tens of thousands of records and fails beyond, which is well below the scale at which content actually arrives. Automating it raises the question of what is doing the judging.

Centralpoint classifies using rules the organization authored — its own terms, statutes and categories, imported through Data Transfer — so the decision is deterministic and explainable rather than probabilistic. This inference has run since long before AI: classification drove retention, routing and entitlement for years, and the vector index became one more consumer of an existing pipeline rather than the reason it was built.