AI healthcare software, with clinicians still in control.
Ozler Care Solutions brings AI to the work that consumes the most time in Australian aged care and NDIS — clinical documentation, incident triage, policy revisions, and credential monitoring — without handing regulated decisions to the model. AI drafts. Clinicians and managers approve. Every action leaves a signed, versioned audit trail.
Four AI workflows, built for Australian regulation.
Each AI capability is anchored to a specific obligation under the Aged Care Act 2024 or NDIS Practice Standards — and each one requires human approval before anything is filed.
How we think about AI in regulated care.
We chose constraints on purpose. These four principles shape every AI workflow we ship.
Human approval for everything that matters
Clinical notes, SIRS notifications, policy changes, rostering decisions — AI drafts, humans approve. Nothing with regulatory consequences is automated.
Full audit trail on every AI action
Original input, AI draft, clinician edits, approver signature, timestamp. Reproducible, auditable, defensible — exactly what the ACQSC and NDIS Commission expect.
Australian regulation as the training context
Our AI is anchored to the Aged Care Act 2024, Strengthened Quality Standards, NDIS Practice Standards, and SIRS obligations. Not a general-purpose model pretending to understand Australian care.
Data sovereignty built in
Customer data never leaves Australia. AI processing happens on Australian infrastructure. Participant and worker data is encrypted at rest and in transit.
AI healthcare questions.
Hallucinations, clinical safety, data sovereignty, and how human approval works in practice.
The best AI healthcare software is the one that leaves humans in control of clinical, regulatory, and rostering decisions — not the one that automates them away. Ozler Care Solutions uses AI to draft clinical notes, triage incidents, and revise policies, but every consequential decision is approved by a clinician or manager before it takes effect. That approach satisfies the ACQSC, NDIS Commission, and clinical safety requirements in one motion.
AI-drafted content is grounded in the source input (voice recording, incident capture, policy diff). We run hallucination detection on every draft before it reaches the approver. The human approver sees the AI draft AND the original source side-by-side, with any unsupported inferences flagged. Nothing gets filed without sign-off.
No. We do not train our models on customer data. AI inference runs on customer inputs but those inputs are not retained for training. Your participant, resident, and worker data is isolated to your tenant.
Most AI healthcare solutions are US-built and retrofitted for Australian regulation. We started from the Aged Care Act 2024 and the NDIS Practice Standards and built the AI workflows backwards. That means clinical notes are tagged to NDIS domains, SIRS triage uses the Act’s Priority 1/P2 criteria, and policy revisions cite the amendment that triggered them.
Yes, when a registered clinician approves it. The complete chain — worker input, AI transcription, AI draft, clinician edit, signed approval — is preserved per note. This satisfies the NDIS Practice Standards documentation requirements and provides a defensible audit trail at plan reassessment.
Yes. OzlerScribe is available as a standalone product, currently in private early access. Join the waitlist and we’ll assess fit with your workforce and clinical governance setup.
On Australian infrastructure, for Australian customer data. We do not route customer data to overseas AI vendors for inference.
See AI-drafted documentation in your workflow.
Book a 30-minute walkthrough. We'll demonstrate OzlerScribe with a 30-second voice sample, show the AI draft, and walk through the clinician approval step.