Summarise the ticket. Not the customer.

Volume is what makes this a data problem

One ticket pasted into an AI tool is a lapse. A team doing it a hundred times a day is a systematic disclosure of your customer base to a third party, usually with nobody having decided that it should happen.

Redacting at the agent's desk changes the shape of that: the AI still gets the substance of the complaint, the error message and the timeline, and stops getting the identity attached to it.

The identifiers support tickets actually contain

Names, personal and work email addresses, phone numbers, postal and delivery addresses, order and account numbers, invoice references, and often a signature block containing several of these at once. Forwarded email threads multiply it, because every reply carries the whole history.

Detection covers direct identifiers and structured references alike, and the same customer keeps the same placeholder throughout a long thread, so a summary of the exchange still tracks who said what.

Find out how much is already sitting in your archives

If you export tickets for analysis, training data or a vendor handover, the folder scan will tell you which files carry which categories of personal data before you share them — a per-file, per-category report produced entirely on the machine holding the export.