1 Data Governance AI Agent, Live in Production.

Manual redaction fails in a predictable pattern. The reviewer finds the obvious instances — the name in the header, the email in the signature — and misses the ones embedded mid-sentence, the initials, the reference number that identifies a person to anyone with access to the other system. The failure is invisible by construction: a redacted document looks redacted, and nobody re-reads the original to confirm. So the quality of a redaction depends entirely on the attention the reviewer had available, and there is no artefact afterwards that would let anyone check. That is a poor foundation for sending a document outside the organisation, which is the only reason it was redacted.

PII Redaction finds personal data in a document and produces a redacted version with a mapping table showing every replacement, so the result can be checked. The mapping table is the part that changes the risk profile. It converts an unverifiable output into a reviewable one: someone can read the list of what was removed and where, and spot both a missed instance and an over-redaction that has destroyed the document’s meaning. One agent covers this process, and it produces a candidate for review rather than a cleared document — the decision that something is safe to release stays with whoever is accountable for releasing it.