AI data leakage for NDIS providers: what leaves when participant files go into ChatGPT or Claude.
A registered NDIS provider writes down the most personal facts about the people it supports: diagnoses, medication, behaviours, where they live alone and when a worker is with them. The Practice Standards expect each participant’s information to be identifiable, accurately recorded, current and confidential, and the Code of Conduct requires respect for privacy. In February 2026 the NDIS Commission said, in a position statement on behaviour support plans, that sending sensitive participant information to a third-party AI platform such as ChatGPT without safeguards may breach the Code. This series takes ten documents a service produces every week, marks every item those obligations bear on, and shows where each one goes when the document is pasted into ChatGPT or Claude. Each page ends with the same document on Ermos, inside the service.
The documents, one at a time
Diagnosis, medication, triggers, the lockbox and a relationship he has asked to keep private. The whole person, in one record.
See what leaves → NotesThe shift progress noteSleep, medication, a self-injury episode, a confidence about bullying and what was said to his mother. One shift, written in the car park.
See what leaves → Report or memoThe reportable incident notificationThe participant, the injury, the worker who left the room, a witness and what the service had not yet changed, in a report due within 24 hours.
See what leaves → AgreementThe service agreementA young woman’s disability, her family, her Saturday routine, her funding and who to call in a bushfire. A contract and a map of her week.
See what leaves → SpreadsheetThe claims and invoice spreadsheetNames, NDIS numbers, the support each person receives, hours, and a status column that says which shifts are under question.
See what leaves → SpreadsheetThe worker roster spreadsheetWho lives alone, where, when a worker is there, the notes for each person and the lockbox code. A map of the week.
See what leaves → RecordThe positive behaviour support planBehaviours, the reason for them, the locked cupboard, the PRN medication and who authorised it. The plan the Commission has warned providers about putting into AI tools.
See what leaves → EmailThe email to a participant’s familyThe injury, the hospital, the worker taken off the roster, an admission and a request about his daughter, written to his sister.
See what leaves → FormThe worker onboarding formWorker check clearance, identity documents, TFN and bank details, a health declaration, family circumstances and the state of the induction.
See what leaves → LetterThe response to a complaintA missed shift, a disputed charge, a late call to a mother and a confidence her son asked the service to keep. Four findings in one letter.
See what leaves →How the leakage happens
The mechanism is the same for every document. The whole text is transmitted to the provider’s servers. On personal plans the user cannot choose where it is stored or processed, and for the major providers that has generally meant outside Australia. On consumer tiers it can be retained and used to train future models. The provider’s staff and systems can reach it under the provider’s own policies. Once sent, the service no longer controls it. Our on-premise vs cloud comparison sets out the four ways to run AI and where each one puts your documents.
The obligations in play
Each marked item on these pages links to the guide that covers its obligation:
- The Privacy Act, the APPs and AI
- Health information under the Privacy Act and AI
- APP 8 cross-border disclosure and AI
- Choosing an on-premise or private cloud AI provider
The same documents on Ermos
Ermos Dominion drafts and searches on a unit in your office, so the documents never leave it. Ermos Edge keeps your documents on your own instance in an Australian data centre and sends only permitted excerpts, per question, to a named Australian provider. Every page in this series ends with both, item by item.
Common questions
Can NDIS providers use ChatGPT or Claude with participant information?
Do ChatGPT and Claude train on what staff paste in?
Do business plans such as ChatGPT Business or Claude Team solve the problem for NDIS providers?
What is the safest way for an NDIS provider to use AI with participant documents?
What does the NDIS Code of Conduct say about privacy?
Does the Privacy Act apply to a small NDIS provider?
What do the Practice Standards say about participant information?
See Dominion answering from your own documents.
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