What is Document Restore Automation?

Restoring the file is the straightforward part. The difficulty is that an earlier state carried earlier metadata, earlier classification, earlier approvals and earlier derived artefacts, so a restore recovering only text leaves an inconsistent record — March content with July classification. In an AI-enabled estate the inconsistency extends further, because embeddings and cached answers derived from the newer version remain in circulation and continue being served. Because Centralpoint indexes at record level and derived artefacts tie to record versions, a restore is a lifecycle operation rather than a file copy: the retrieval surface follows the record's state without separate cleanup, and governed answers derived from a superseded version are identifiable through that link rather than persisting as independent artefacts nobody can locate.