Document Restore Automation

Restoring the file is the easy part. The difficulty is that a document's earlier state was accompanied by earlier metadata, earlier classification, earlier approvals and earlier derived artefacts, and a restore that recovers only the text leaves an inconsistent record — content from March with classification from July. In an AI-enabled estate the inconsistency extends further, because embeddings and cached answers derived from the newer version remain in circulation.

Because Centralpoint indexes at record level and derived artefacts are tied to record versions, a restore is a lifecycle operation rather than a file copy — the retrieval surface follows the record's state rather than requiring separate cleanup. Governed answers derived from a superseded version are identifiable through that link instead of persisting as independent artefacts.