Aged Care
The sector that needs governance most is under the most pressure to change.
The Aged Care Act 2024, Support at Home, workforce shortages, and a 59% loss rate. Taidotech helps aged care providers navigate the administrative burden with practical, governed technology built for how care actually works.
"Providers must absorb significantly more administrative work without proportional increases in revenue or headcount."Ageing Australia — April 2026
The landscape
More compliance, more reporting, the same workforce.
The Aged Care Act 2024 and the Support at Home program have fundamentally changed the administrative workload for aged care providers. Weekly billing cycles, granular service-type coding, per-participant co-contribution invoicing, and outcome-based reporting have replaced simpler legacy models. Every change adds process. Almost none of it adds capacity.
In the September 2024 quarter, 59% of aged care homes operated at a loss, with staff costs consuming 81.5% of operating revenue. Providers are being asked to absorb significantly more administrative work without proportional increases in revenue or headcount. The pressure is structural, not cyclical — and it is not going away.
The organisations navigating this most effectively are the ones that have redesigned how administrative work gets done — not by hiring more administrators, but by automating the structured, repetitive work that shouldn't require a person, and redirecting their team's capacity to the work that genuinely does.
Aged Care Act 2024 and Strengthened Standards
New quality standards, SIRS reporting obligations, key personnel requirements, and consumer outcome measurement. More documentation, more auditability, more accountability — on the same teams.
Support at Home billing complexity
Weekly billing cycles, per-service-type coding, co-contribution management, and budget oversight across each participant's individual plan. Claims rejected for coding errors cost time and revenue.
Shortages, turnover, and on-cost growth
Staff shortages and high turnover mean the same administrative burden falls on fewer people. New beds increase demand for staff they can't hire fast enough to fill. On-costs keep rising.
AI accountability sits with the provider
The government expects AI adoption. The regulator holds providers accountable for every decision, record, and outcome — regardless of whether a human or a system produced it. Governance cannot be optional.
How Taidotech helps
Four capability areas. All built for the aged care operating environment.
Taidotech's work in aged care spans four capability areas — voice and customer service automation through Sophie, workflow automation for claims and compliance, AI and analytics for revenue and quality, and UpliftX advisory for organisations that aren't sure where to start.
Each capability is designed to operate within aged care's regulatory environment: Privacy Act 1988, the Aged Care Act 2024, Strengthened Quality Standards, and My Health Record obligations. We use "designed to support" deliberately — not "compliant with." Governance is built in from the start, not asserted after the fact.
Voice automation for customer service and after-hours
Your customer service team and after-hours service can't answer every call. Sophie handles the calls they can't reach — capturing structured data, classifying urgency, and alerting the right people. Co-contribution enquiries, service confirmations, family calls, shift cancellations — handled consistently, governed, and auditable. SIRS-aware escalation from day one.
- After-hours safety net replacing voicemail with structured capture
- Daytime overflow when customer service team is at capacity
- Co-contribution and billing enquiry automation
- Shift cancellation and rostering notification capture
- Family and next-of-kin enquiry management
Claims, compliance, and documentation workflows
The administrative burden in aged care is structural — weekly billing, per-service coding, co-contribution management, SIRS notifications, key personnel change records. We automate the structured, rules-based work that shouldn't require a person, reducing error rates, rejection rates, and the time your team spends on work that doesn't require their expertise.
- Claims pre-validation before submission to reduce rejections
- Documentation completeness nudges for care workers
- Key personnel change notifications and record management
- SIRS incident capture and escalation workflows
- Scheduled compliance and quality reporting
Revenue, quality, and operational intelligence
Revenue leakage dashboards that show the gap between care delivered and care claimed. Service coding anomaly detection that flags errors before they become compliance issues. Care plan vs delivery mismatch identification that supports both clinical governance and billing accuracy. Quality indicator tracking across your service portfolio. Built on Azure, integrated with AlayaCare.
- Revenue leakage analysis — delivered vs claimed by service type
- Coding anomaly detection across Support at Home claims
- Care plan vs delivery mismatch for clinical and billing review
- Predictive budget modelling for participant plan management
- Quality indicator dashboards for internal and regulatory reporting
Strategic planning for AI and automation investment
Not sure where to start? Our UpliftX framework maps how work actually flows across your customer service, billing, care coordination, and compliance functions. We assess where AI and automation genuinely fit, quantify the opportunity, and build a prioritised roadmap — one business unit at a time, with a clear evidence base for every investment decision.
- Process maps for all assessed functions
- Automation opportunity register with effort and impact scoring
- Business cases for priority initiatives
- Phased delivery roadmap with dependency mapping
- Change readiness assessment and governance framework
Regulatory context
Built to operate within the aged care regulatory environment.
Aged care is one of the most heavily regulated service environments in Australia — and the regulatory load is increasing, not stabilising. Every Taidotech solution deployed in aged care is designed with the relevant regulatory frameworks in mind from the start.
We use precise language deliberately. Our solutions are "designed to support" the frameworks listed here — they align to these requirements as a design principle, built to operate within these obligations. We don't claim certification or guarantee compliance outcomes, because those are a function of how technology is configured and used by the provider, not just the technology itself.
"The AI doesn't absorb the accountability. You do. Every decision, every record, every outcome remains the provider's responsibility — which is exactly why governance and auditability cannot be optional in any AI system deployed in aged care."
In practice
What Taidotech work looks like in an aged care operation.
A mid-sized home care provider receives ~450 unanswered after-hours calls per month — approximately 18.5% of total after-hours volume. All go to voicemail. No structured record of who called, why, or what happened next. Follow-up is manual and uneven.
Sophie steps in when the after-hours team can't reach a call. Every caller is answered immediately, identified via AlayaCare where possible, triaged by urgency, and logged with a full transcript and summary. Real-time alerts route to Microsoft Teams. The after-hours team's workflow is unchanged.
A home care provider estimates $100K/week in unbilled care — services delivered but not captured in the billing system due to incomplete documentation, coding gaps, or system handoff failures. The gap is known but not measured precisely.
A revenue leakage dashboard compares services delivered (from rostering and care management systems) against services claimed (from the billing system). The gap surfaces by service type, location, and time period — giving the billing team a daily action list rather than a monthly surprise.
Support workers are completing care delivery notes inconsistently — missing required fields, using non-standard descriptions, or submitting after billing cutoffs. Claims are rejected, compliance risk accumulates, and the quality team spends hours chasing corrections after the fact.
Automated nudges alert workers to incomplete documentation before the billing window closes — specifying exactly which fields are missing and why they're required. Rejection rates fall. The quality team's time shifts from chasing errors to reviewing exceptions.
A provider's executive team knows they need to invest in automation but can't agree on where to start. Previous technology projects have delivered below expectations. There's no shared view of which functions carry the most administrative burden or which automation candidates would have the highest return.
A six-week UpliftX engagement maps the work across customer service, billing, care coordination, and compliance. Each function is assessed for automation suitability and potential return. The output is a prioritised roadmap with business cases — a shared, evidence-based starting point for the programme ahead.
Relevant reading
Thinking from Taidotech on aged care, AI, and the regulatory environment.
The 2026–27 Budget, AI, and what it means for regulated service providers
The Budget doesn't change the pressure on regulated providers — it sharpens it. What the measures signal, where AI fits, and what providers should do next.
Read article →Sophie: service automation for regulated organisations
Most AI is designed to eliminate work. Sophie is designed to redistribute it — so staff in regulated sectors can focus on judgment, empathy, and expertise.
Read article →Key personnel compliance is getting harder to ignore
Aged care, NDIS, and Victorian social services regulators all want more documentation and more auditability. Spreadsheets won't survive the next audit cycle.
Read article →Bring us the part of your operation that's hardest right now.
Tell us where the pressure is — after-hours, billing, compliance, documentation, or somewhere else entirely. We'll tell you honestly whether we can help and where to start. No pitch deck, no obligation.
"The sector that needs governance most is under the most pressure to change — and the organisations that redesign how work is allocated will outperform those that don't."Taidotech — The shift already underway