Dialogue History

Conversation is where most AI risk accumulates, because context builds across turns and a boundary respected in isolation can be eroded gradually. Retaining history serves two purposes that are worth separating: continuity, which improves the experience, and accountability, which makes the conversation reviewable. The second brings obligations — a retained conversation may contain regulated content contributed by the user rather than retrieved by the system, and inherits the same classification and retention duties as any other record.

Dialogue History in Centralpoint is retained as records inside the organization's environment, so conversations carry classification, audience scoping and retention treatment rather than living under a provider's default log policy. Paired with the Interaction Log, a conversation can be examined turn by turn alongside the skills and retrieval that governed each answer.