AI-powered NDIS progress notes — built on real compliance frameworks

There are plenty of AI tools that can generate text. Give them a shift description and they’ll produce something that looks professional. But they don’t know that community access sessions need to link to specific NDIS plan goals. They won’t flag that “I held her hands” is a regulated restrictive practice requiring a Section 15(2) record. They don’t know that private details about a participant’s family situation should be filtered out under Australian privacy law.

Clio knows all of this because it was built from the source documents — not trained on example notes, but engineered around the actual regulatory framework that NDIS documentation operates within.

Built on NDIS legislation, not generic AI

Clio’s compliance engine is built directly from primary NDIS legislation, regulatory frameworks, and Australian privacy law. It’s not a general-purpose AI that’s been given a few NDIS keywords — it’s an engine that understands the specific rules governing how NDIS documentation must be written, what auditors look for, how incidents must be classified, when restrictive practices need legal records, and what information should and shouldn’t appear in a clinical note.

This means every note Clio generates is structurally compliant by default. Not because the worker remembered every rule, but because the rules are embedded in the system itself.

What this means in practice

When you describe your shift to Clio, it doesn’t just format your words into paragraphs. It actively applies compliance rules as it structures the note.

If you mention holding someone’s hands to stop self-harm, Clio recognises this as physical restraint and generates the full Section 15(2) legal record — checking the participant’s behaviour support plan to determine whether the practice is authorised.

If you mention private information about a participant’s family life, Clio filters it down to what’s clinically relevant, in line with the Australian Privacy Principles.

If you describe activities that relate to the participant’s NDIS plan goals, Clio links them — but only when the match is genuine. It applies a qualifier test to make sure the activity actually relates to the specific goal, not just a vaguely similar topic.

The worker is always the author

Clio is a formatter, not an author. It takes what you described and structures it. It never fabricates observations, invents quotes, or adds clinical interpretations you didn’t make. If you said “she was grumpy,” the note says “she was grumpy” — not “she presented with dysregulated affect.” Your voice stays in the note. Clio just makes sure the structure around it is compliant.

Every note includes a disclosure: “This case note was generated with the assistance of Clio Care AI and has been reviewed and signed off by [Worker Name].” The worker reviews, edits if needed, and signs off. Human judgement is always the final step.