Map where information appears
Calls can contain names, phone numbers, addresses, account references, and sensitive free-form disclosures. Related transcripts, summaries, filenames, and source metadata can repeat those details. Build the review inventory around every intended artifact, not only the original audio or a short list of structured metadata fields.
Define project-specific treatment
Specify which information must be excluded, masked, replaced, retained under reviewed access, or escalated for a decision. Explain whether speaker consistency and conversational continuity must survive transformation. Do not assume that removing a written name also removes the same spoken information from an audio recording.
Review all derived outputs
Check that transformed audio, transcripts, timestamps, and manifests remain aligned. Document the scope of automated screening and human review, including unresolved exceptions. A completed redaction process is evidence of processing; it does not by itself establish that the collection meets every project requirement or that every source is appropriate.
Set an exception and revision path
Agree on how uncertain segments are withheld, reviewed, replaced, or removed from later releases. Keep release identifiers so corrections can be reconciled. Share the intended use and handling workflow with Fiund early; each source and project scope needs review before a potential collection can be treated as suitable. A concrete pilot can follow one spoken account reference through the original recording, transcript, summary, and filename metadata. Inspect the artifacts after the proposed treatment. Record any occurrence that remains and the intended response, since a successful transformation in one representation does not demonstrate consistent handling across the complete package.
Review checklist
- Inventory audio and all derivatives
- Specify treatment by information category
- Record review coverage and exceptions
- Define versioned correction and withdrawal steps