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AI for aged care and disability.

AI and custom software for Australian aged care and disability providers. Care documentation, incident triage, rostering to care minute targets, compliance evidence, funding reconciliation and worker screening. Clinical judgement stays with clinicians. What we take off the floor is the administration around it.

What we automate

We build systems that integrate with the operational reality of Australian businesses in this sector. Common workflows we automate end to end:

  • Care and progress note documentation drafted from the visit record
  • Incident triage and reportable incident identification for escalation
  • Rostering against care minute targets and worker qualification
  • Compliance evidence collection mapped to the applicable standards
  • Funding claim reconciliation against services actually delivered
  • Worker screening, qualification and vaccination expiry tracking
  • Family and representative communication drafted from the care record

The realities we build around

Documentation is both a care obligation and a funding one, and staff are doing it at the end of a shift when they are least able to.

The regulator audits evidence, not intention, and evidence that was never captured cannot be recovered.

Funding is tied to assessed need and delivered service, so a gap between what happened and what was recorded is a direct revenue loss.

Workforce turnover is high, so anything that depends on institutional memory degrades quickly.

Why work with us

Aged care and disability work built for a sector where the administrative load is a genuine driver of burnout and the regulatory bar is evidence-based. We work on documentation, evidence and funding accuracy, and we are explicit about where a system must not make a clinical call.

Where most AI in this sector goes wrong

Most AI proposed into care settings is either clinically overreaching or trivially cosmetic. The fragmented patterns: tools that summarise a care note without connecting to the funding claim it supports; incident systems that categorise but do not identify a reportable incident against the actual statutory test; rostering that fills a shift without checking the worker’s screening, qualification and scope of practice; compliance projects that produce a binder for audit rather than evidence captured as care happens; and anything that positions a model as making a care decision. In this sector the failure mode is not embarrassment, it is harm, and the design has to reflect that.

Systems we integrate against

Care engagements integrate against whatever you run: your care management system, your rostering and time system, your accounting platform, and the government portals you claim and report through. We do not publish a supported-vendor list: line of business applications, online software, on premise or in the cloud, current or long abandoned by its vendor. If it holds the data, we integrate with it, and if it is not named here that is not a limitation. Most AU providers run one care management system, one rostering system, and a compliance process that is largely manual. Integration is the value: closing the loop between the care delivered, the record of it, the claim for it and the evidence of it.

If your stack isn’t listed above, reach out anyway. The systems vary by industry but the integration patterns don’t. We can usually work with whatever you’re running. Tell us your stack.

Regulatory and compliance landscape

Australian aged care operates under the Aged Care Quality Standards enforced by the Aged Care Quality and Safety Commission, with the Serious Incident Response Scheme imposing strict reportable-incident timeframes, care minute targets tied to AN-ACC funding, and mandatory worker screening. NDIS providers operate under the NDIS Practice Standards and the NDIS Commission with their own reportable incident regime and worker screening checks. Health records are covered by the Privacy Act and by state health records legislation. We design workflows so evidence is captured at the point of care, statutory timeframes are tracked by the system rather than by a person, and no clinical determination is made by software.

Operational outcomes we move

Defensible outcomes on care engagements: documentation time per shift reduced so more of the shift is care; reportable incidents identified and escalated inside the statutory window; care minute targets tracked against roster in advance rather than reported after the quarter; funding claims reconciled to services actually delivered so revenue is not quietly lost; and worker screening and qualification currency provable at any moment.

Common deployment patterns

Common deployment patterns for AU providers: a documentation assistant that drafts the progress note from the visit record for the worker to confirm; incident triage that applies the statutory reportable test and escalates, with a human deciding; a rostering view that checks qualification, screening and care minute impact before a shift is filled; funding reconciliation against delivered service; and a compliance evidence layer mapped to the standards you are audited against.

Related Bedstone services

Providers typically pair this with AI accounts for supplier invoices and claim reconciliation, our healthcare work, and rostering and field software. Or look at Bedstone OS for one workspace across care records, rostering, compliance and finance.

How we engage

Five-step delivery, scoped to fit. Audit, scope sprint, proof of concept, verification, rollout. Wrapped as a fixed-scope sprint, monthly retainer, fractional engagement, or one-off audit. See services for the full process and commercial structures.

Common questions

Does the system make clinical decisions?

No, and we will not build that. It drafts documentation, identifies what needs escalation against a configured statutory test, and surfaces evidence. Every clinical determination is made by a qualified person, and the system records who and when.

How does it handle reportable incidents?

It applies the reportable-incident test you configure, flags the incident and starts the statutory clock, and escalates to the responsible person. The decision to report is human. What the system removes is an incident sitting unnoticed past its timeframe.

Where does resident and participant data live?

In infrastructure you control, in Australia, and it is not used to train anyone else’s model. Access mirrors what each worker can already see in the source system, so the deployment does not widen anyone’s access.

Can it help with care minutes and AN-ACC?

Yes, on the tracking side. It compares rostered and delivered care against target in advance so a shortfall is visible while the quarter can still be corrected. Funding determinations remain the assessor’s.

Across Australia

We work with operators in this sector across the country. See city-specific context: AI agency Australia, Brisbane, Sydney, Melbourne, Perth.

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