An AI document workflow can create many sensitive copies after the original upload, including extracted text, images, search chunks, and summaries.

Before promising deletion, map each artifact to its source, owner, storage location, purpose, and expiry trigger.

Distinguish active records, temporary work, caches, backups, and provider-held data. Confirm the retention requirements rather than choosing a universal duration.

Test deletion during processing and after an isolated backup restore. Check that delayed jobs cannot recreate content that should stay removed.

Report completed categories and unresolved exceptions honestly. A useful deletion policy is traceable and enforceable, with boundaries the customer can understand.

Original article explainer. AI-assisted conceptual illustration and neural narration; original synthesized music. Not a human recording or customer result.