/ redaction / privacy / due diligence
Redaction Rules for AI-Assisted Due Diligence
Teams should decide which fields AI tools may process before uploading supplier and payment documents.
AI-assisted due diligence often touches payment details, contact names, addresses, contracts, and supplier documents. Teams should decide what data the tool needs before uploading complete files.
Classify fields by sensitivity. Public company names and registration codes may be low risk. Bank account numbers, personal phone numbers, contract prices, and customer names need tighter handling.
Use task-based redaction. A model that summarizes certificate scope may not need full bank details. A model that compares beneficiary names may need the beneficiary line but not every commercial term in the invoice.
Keep a record of what was redacted. Future reviewers should know whether a missing field was unavailable, intentionally removed, or outside the task.
Review vendor and system settings before scaling. Data retention, training use, access control, and audit logs matter as much as model accuracy when documents contain sensitive trade information.
Working checklist
- Classify sensitive fields.
- Redact by task.
- Record what was removed.
- Limit bank and personal data exposure.
- Review retention and access settings.