NDIS planning framework changes mid-2026. Documentation quality during support delivery is now the evidence that follows a participant into plan reassessment. OzlerScribe is in private early access — join the waitlist to shape it.
See the reform timeline →OzlerScribe™
Speak for 30 seconds. Get structured clinical notes. Ready for plan reassessment.
OzlerScribe turns verbal shift summaries into clinical documentation aligned with NDIS Practice Standards. Workers speak naturally — the platform restructures, tags to practice domains, and files back against the participant plan. AI drafts; humans approve.
See OzlerScribe turn a 30-second voice note into a clinical record
Real React component. Demo voice transcript. Watch the AI draft structured notes aligned to practice standards.
OzlerScribe — Clinical Documentation AI
Voice capture · AI structuring · Clinician approval · Filed to participant plan
Visit note · James T.
Speak naturally about the visit. Typical note is 20–40 seconds.
"End of morning visit with James. Cooperative as usual, got through the whole shower routine without issue. Skin looked okay, no pressure marks I could see. Blood pressure fine. He mentioned his right knee was a bit stiff, probably from the cold. No falls, no incidents. Next visit Wednesday."
Worker speech · transcribed live · no form fills
What happens next
- Transcription tuned for care-sector terminology and Australian accents.
- AI restructures informal speech into a clinical note, domain-tagged.
- A clinician reviews every draft before it is filed to the participant plan.
Real React component. Worker names are fictional. All data is example-only — a demonstration of how the product looks and behaves, not a live customer environment.
Support workers don’t have time to write — but someone has to document.
The NDIS planning framework wants documentation evidence during support delivery. Not a one-page summary at annual review — structured notes over time, linked to practice domains, showing outcomes and participant goals.
Your support workers don’t have time to type clinical notes between shifts. Your clinical team can’t shadow every worker. So most documentation happens retrospectively — from memory, in shorthand, often skipped entirely for low-severity visits. At plan reassessment, the evidence is thin.
OzlerScribe is the honest fix: the worker speaks for 30 seconds about the visit, the platform transcribes, restructures into clinical language, tags to practice standard domains, and files the note. The worker’s job is the care. The documentation writes itself — AI suggests, a human in your clinical team approves.
Supporting actions — most require evidence of documented support delivery
Source: ACQSC
NDIS planning framework changes — good documentation supports plan evidence
Source: NDIS Commission
Annual aged care worker shortfall — typing time is care time foregone
Source: Sector estimates
How OzlerScribe works
From 30-second voice note to filed clinical record — in 4 steps.
Worker speaks
A worker opens OzlerScribe at the end of a visit. Taps record. Speaks for 30 seconds about what happened, how the participant presented, what was provided, any clinical observations.
AI transcribes + restructures
OzlerScribe transcribes the voice note — tuned for Australian accents, care-sector terminology, and participant names. Then it restructures the informal speech into clinical documentation aligned with NDIS Practice Standards.
Clinician reviews
A member of your clinical team sees the AI’s draft with the original voice transcript alongside. They review, edit if needed, approve. AI suggests; humans approve — on every documentation decision that will be evidence.
Filed against the plan
The approved note is filed against the participant’s plan, tagged to the relevant practice standard domain, and stored with full provenance — original voice file, AI draft, human edits, approver name, timestamp. Plan reassessment evidence assembles itself over time.
Built for the people who run OzlerScribe™
Support Worker
You speak for 30 seconds at the end of the visit. That’s your documentation done. No typing, no forms, no overtime in the carpark.
- Voice capture on any smartphone
- Resume if interrupted — works offline
- Auto-tagged to participant + visit
Clinical Care Manager
The documentation queue surfaces with AI-drafted notes. You review where clinical judgement matters. Worker documentation volume multiplies without multiplying your hours.
- Review queue prioritised by clinical sensitivity
- AI draft + original voice transcript side-by-side
- Threshold-based auto-approve for low-clinical-risk visits
Quality & Compliance Manager
Evidence of support delivery is documented consistently across every worker, every visit, every participant. Audit gaps that used to appear in documentation disappear.
- Consistent documentation structure per visit
- Mapping to NDIS Practice Standard domains
- Full provenance for every note (voice → AI → human)
Plan Coordinator / Support Coordinator
Plan reassessment evidence accumulates throughout the plan period, not the week before the meeting. Participant outcomes are documented where they happen.
- Participant-level documentation timeline
- Outcome + goal tagging per visit note
- Plan reassessment evidence pack (auto-assembled)
Registered Nurse
Clinical notes for high-complexity visits still get your rigour. OzlerScribe drafts — you refine the clinical language and sign off.
- Advanced clinical documentation templates
- Medication + restrictive practice logging
- Direct write-back to participant record
Director of Nursing / Clinical Governance Lead
Clinical documentation volume + quality become a governance metric. You see where notes are thin, where they’re strong, and where training would close the gap.
- Documentation quality dashboard per cohort
- Incident-to-documentation cross-references
- Evidence for SQS Outcome 5.5 from live notes
Three themes, built deep.
What the product actually does — grouped by outcome, not feature list.
Voice that reads the room
Speech-to-text tuned for Australian accents, care-sector terminology, and the reality of talking in a carpark.
Generic transcription misses sector vocabulary. “Pressure injury stage two” becomes “presser injured stage two.” “PRN medication” becomes “paren medication.” OzlerScribe’s transcription engine is trained on care-sector specific vocabulary — conditions, medications, procedures, participant-facing terminology — plus Australian English, multiple accent profiles, and noisy environments.
It also understands intent. When a worker says “James was cooperative and we got through everything on the list, skin looked okay, no falls,” OzlerScribe extracts a visit summary, a mood observation, a skin assessment finding, and a fall absence note — in one pass.
AI suggests. A human approves. Every note.
We don’t automate clinical documentation. We accelerate it.
A wrongly-worded clinical note becomes evidence. If OzlerScribe auto-filed without human review, a hallucinated symptom could end up in a participant’s plan. That’s not a trade-off we make.
Every AI draft is reviewed by a clinician before filing. The review queue surfaces with the AI draft alongside the original voice transcript — so the clinician can verify what was actually said. Low-clinical-risk visits can be configured to auto-approve with clinician override; high-sensitivity notes always require a human. The audit trail records the AI draft, every human edit, and who approved.
Mapped to practice standards from day one
Every filed note carries its practice-standard provenance — so plan reassessment evidence is cumulative, not retrospective.
OzlerScribe tags every note to the NDIS Practice Standard Quality Indicator(s) it evidences. Over a plan period, the documentation accumulates — per participant, per support domain, per outcome.
At plan reassessment, the support coordinator doesn’t go hunting for evidence. They filter by domain or outcome and see the documented support delivery across the plan period — with the original voice transcripts available if anything needs clarifying. Evidence that used to be retrospectively assembled is now prospectively accumulated.
Concrete numbers, mapped to regulation.
OzlerScribe is in private early access. The platform turns 30-second voice notes into structured clinical documentation, tagged to NDIS Practice Standard Quality Indicators. A human clinician reviews every AI draft before filing — we don’t automate documentation that becomes regulatory evidence. Full provenance is retained per note: voice file, AI draft, human edits, approver, timestamp.
OzlerScribe is more powerful with the Ozler platform
One data layer across staffing, training, and compliance. Every product strengthens the others — this is the moat.
Visit-to-Evidence Loop
A support worker records a 30-second voice note. OzlerScribe drafts a structured clinical note. A Clinical Care Manager reviews and approves. The note is filed against the participant’s plan, tagged to Practice Standard domain. At plan reassessment six months later, OzlerReady surfaces the domain-tagged notes as evidence — no one went searching.
Training Gap Detection Loop
OzlerScribe detects a pattern — workers on a specific cohort are consistently missing the ‘consent confirmed’ element in their notes. Skill2Care auto-assigns a documentation refresher. OzlerShield tracks completion. Subsequent notes show the pattern closing.
Incident-to-Documentation Loop
A worker files a Priority 2 fall via OzlerSIRS. OzlerScribe prompts for a voice note on contextual observations leading up to the event. The note is attached to the incident record. Investigation — and future audits — have the clinical narrative alongside the structured incident data.
OzlerScribe™ is in private early access.
Commercial tiers announced closer to general availability. Design partners join a small cohort shaping the product with direct founder support and preferential pricing at launch.
- Private access for design partners
- Founder-led onboarding
- Direct input into product direction
- Preferential pricing at launch
No credit card. No commitment. We'll contact you when access opens — typically within 2 weeks of joining.
Ozler is not affiliated with, endorsed by, or certified by the Aged Care Quality and Safety Commission, the NDIS Quality and Safeguards Commission, or the Australian Government Department of Health, Disability and Ageing. OzlerScribe™ is a tool to help providers meet their regulatory obligations. It does not replace the provider's responsibility to comply with the Aged Care Act 2024, NDIS Act 2013, and associated Rules and Practice Standards.
Ozler is new. We built it because the people running Australian care operations deserve better tools — workforce and compliance as one system, not two. If that resonates, we want to work with you directly.
We're onboarding a small cohort of design partners — aged care and NDIS providers who help shape the product in exchange for early access, direct founder support, and preferential pricing.
Answers to the real buyer objections.
Early access
Private early access with a small cohort of design partners. We expect wider availability after our clinical governance review and practice-standard mapping is finalised. Join the waitlist and we’ll keep you informed — including opportunities to shape the product as a design partner.
Direct access to the working product, founder-led onboarding, preferential pricing at general availability, and visible influence over the roadmap. You’re helping build it — and you’re compensated for that with access and price.
Clinical safety
No. Every AI-generated draft is reviewed by a clinician before filing. The audit trail records the AI draft and the human edits. We do not automate documentation that becomes regulatory or clinical evidence — the Commission will ask to see the human in the loop, and we’ll show it.
Three controls. First, every note is clinician-reviewed before filing — the human sees the original voice transcript alongside the AI draft. Second, thresholds flag high-sensitivity content for mandatory human review (medication changes, incidents, restrictive practices). Third, the provenance chain is retained — if a filed note is later challenged, the source voice, AI draft, and human edits are all available.
Data + privacy
AWS Sydney (ap-southeast-2). Encrypted at rest and in transit. Retained per your configured retention policy (default: 7 years for clinical artefacts). No training data is extracted from customer voice notes without explicit opt-in.
Yes. Participant consent to voice-captured documentation is a configurable setting per participant plan. When opted out, OzlerScribe doesn’t run on their visits — workers can still document via text, and the workflow falls back to manual entry.
Be first in line for OzlerScribe™.
Join the waitlist. Design partners get direct founder access and preferential pricing at launch.
No credit card. No commitment.