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AI for Healthcare & Aged Care Australia | AI Surge
AI for Healthcare and Aged Care

Two carers call in sick at 5am.
The shifts fill themselves.

If your coordinators still ring down a list before dawn to cover a shift, and your RNs and support workers lose hours to progress notes and NDIS paperwork, you are the provider we build for. AI Surge helps Australian aged care, disability and home care organisations fill shifts faster, cut the admin load off the floor, and keep clinical sign-off firmly with your RNs and care managers.

The Problem

In Australian healthcare and aged care, the rostering crisis is the workforce crisis.

It is 4:30 in the morning. A personal care worker calls in sick and the AM shift starts in two hours. The on-call coordinator opens the roster and starts down the list, ten or fifteen names, checking who is qualified, who is not already over their hours and who might actually pick up. Every minute lost is a minute closer to residents waking to a floor that is one carer short. This plays out hundreds of times a week across aged care, disability and community health, and it is the same story whether you run three residential homes or a home-care roster spread across a region.

The shortage underneath it is real: too few registered nurses, ENs and support workers, high casual reliance, and agency rates and overtime loadings that punish every unfilled gap. Each of those calls that ends in an agency booking or a double shift lands straight on your monthly wage bill. Meanwhile the staff you do have burn their goodwill on the phone rounds and on the documentation tail that follows every shift. Progress notes, incident reports and NDIS funding evidence pull clinical people away from the bedside, family enquiries pull them off the floor mid-round, and thin notes come back to bite you at accreditation and in claiming.

You have already invested in rostering and care management software. Whether you run Humanforce, Roubler, Tanda, Deputy, ShiftCare or Procura, the data is already there: award rules, qualifications, fatigue limits, who prefers extra shifts, who replies to an SMS before dawn. What is missing is the layer that turns that data into action on its own. AI Surge builds it: AI-driven rostering, voice and SMS shift-fill agents, and documentation and compliance workflows that make the operational reality finally match the technology spend. Coordinators get their nights back, shifts get filled without the agency premium, and care staff get their time back for residents and clients.

5-15 min
Shift Fill Time
50%
Coordinator Admin Reduction
30 min
Documentation Per Shift
6-10 Wks
To Live Agents

Typical outcomes for Australian aged care and healthcare providers we work with. We model the numbers against your own operation before any build.

AI Platforms

The platforms we deploy for healthcare and aged care.

We work with the AI platforms your operations actually need, choosing on fit, not fashion.

Custom Shift-Fill Agents
Core Capability

Voice and SMS agents built on Claude and Manus that run the sick-call rounds for you: calling and texting eligible staff in preference order, stating the site, shift and pay, and confirming the first yes. Integrated with Humanforce, Roubler, Tanda, Deputy and ShiftCare so the roster updates itself.

Claude
Documentation & Communications

Drafts progress notes and shift reports, structures incident reports, prepares NDIS and funding documentation, and writes clear family updates. Everything routes to an RN or care manager for sign-off. It supports care staff and never makes clinical decisions.

Manus
Workflow Orchestration

Orchestrates the full shift-fill sequence without hand-holding: find eligible and non-fatigued staff, contact in preference order, confirm acceptance, write the shift back to the roster and notify the facility manager, then escalate to a human only if no one accepts.

Microsoft Copilot
Admin & M365

For care management and administration teams on Microsoft 365: care-conference summaries, family correspondence, policy and compliance documentation, and coordination across facility and clinical teams.

ChatGPT / OpenAI
Communications & Custom GPTs

Handles routine family and prospective-resident enquiries, powers a families FAQ assistant on fees, visiting and care questions, and drives custom GPTs for specific documentation workflows.

Open-Source Models (On-Premise)
Data Sovereignty

For providers with strict data-sovereignty requirements, Llama deployed on your own infrastructure. No resident, client or staff health data leaves your network.

Use Cases

Where AI makes the biggest difference in care operations.

Each use case is deployable independently or as part of a broader AI programme. In every one, the AI does the chasing, drafting and flagging, and a registered nurse or care manager holds the final call. It never makes clinical decisions.

01 - Rostering

AI-Driven Rostering

Build rosters that already respect the SCHADS and Nurses Award rules, fatigue and break limits, qualifications and mandatory ratios, continuity of care and each worker's stated preferences. Fewer last-minute reshuffles, fewer award breaches, and rosters that hold together when someone drops out.

02 - Shift Fill

Voice and SMS Shift-Fill Agents

Agents that run the 5am sick-call for you: contacting eligible, non-fatigued staff in preference order by voice or SMS, confirming the first acceptance and updating the roster, all without waking a coordinator. Fill times drop from 60 to 120 minutes to 5 to 15, and agency reliance drops with them.

03 - Documentation

Progress Notes and Care Documentation

Care staff speak or jot a few points and the agent drafts the progress note or shift report in your format, mapped to the care plan and NDIS line items, ready for RN sign-off. Documentation time per shift falls from around 75 minutes toward 30, and notes come back richer, not thinner.

04 - Compliance

Incident and Compliance Reporting

Turn a rushed handover note into a complete, consistent incident report, with the SIRS and NDIS reportable-incident triggers flagged and the reporting clock surfaced. A care manager reviews and submits instead of chasing detail after the fact, so nothing slips past a deadline and the decision to report stays with your people.

05 - Accreditation

Accreditation and Standards Readiness

A live evidence layer that continuously maps incidents, care plans, clinical indicators, complaints and training records against the strengthened Aged Care Quality Standards. When an unannounced visit lands, quality managers open an indexed pack instead of starting a fortnight of collation.

06 - Families

Family and Resident Communications

Agents that answer routine family enquiries, send proactive updates after a fall or a GP visit, and triage genuinely urgent concerns to the right clinician fast. Families feel informed and staff stop fielding the same calls, without adding headcount.

07 - Quality

Care Quality and Risk Intelligence

Agents that watch care data for early signals across falls, weight loss, pressure injuries, medication events and behaviour patterns, and surface them to clinical leadership as prompts to review. It flags patterns for human clinicians to act on. It does not diagnose or make clinical decisions.

Before and After

What changes when AI Surge goes live.

Measurable outcomes from the first month of deployment.

Picture a 90-bed home on a Sunday, an illustrative composite of what we see. Before: two personal care workers call in sick at 5:10am. The on-call coordinator works the phone for the best part of an hour, one gap gets plugged with agency at weekend rates and the other floor runs a carer short through breakfast. The incident and progress notes from that shift get written up in a rush that night, if at all.

After: the moment those two calls land, the shift-fill agent messages eligible, non-fatigued workers in preference order, states the site, shift time and pay, and confirms the first yes back into the roster. The coordinator wakes to two filled shifts and a clear log of who was offered what. Progress notes are drafted from a few spoken points and wait for the RN to review and sign, not to be typed from scratch.

Metric Before AI Surge After AI Surge
Time to fill an unplanned shift 60-120 minutes 5-15 minutes
Coordinator after-hours sick-calls Routine, every shift Exception-only
Agency and overtime reliance Default fallback for gaps Last resort, materially lower
Roster compliance with award and ratios Reactive checking Built into every roster
Documentation time per shift 45-75 minutes 15-30 minutes
Incident report completeness and timing Variable, deadline risk Structured, SIRS triggers flagged
Accreditation evidence preparation Weeks of manual collation Live, indexed evidence pack
Family communication consistency Variable by staff member Standardised and proactive
Care risk detection Audit-driven, retrospective Continuous, AI-flagged for review
"The 4am phone rounds are gone. My coordinators sleep through the night, my carers get a text they can actually say yes to, and my RNs are writing progress notes in a third of the time. That is a recruiting story, a retention story and a care quality story all at once."
Aged Care Executive, South-East Queensland
How It Works

From strategy session to live agents.

A clear engagement model designed around how healthcare providers actually operate.

1

Discovery Conversation

We map your provider type, sites, rostering and care systems, staff mix and the shift-fill and documentation pain that costs you the most in agency spend and clinical time. Obligation-free and jargon-free.

2

Systems Assessment

We review your existing rostering, payroll and care management platforms, including Humanforce, Roubler, Tanda, Deputy, ShiftCare and Procura, and design the integration and data-handling architecture. We work with what you already run.

3

Strategy and Roadmap

A prioritised deployment plan built around your Aged Care Quality Standards or NDIS Practice Standards obligations, with clinical safety boundaries and ROI modelled on agency, overtime and coordinator time before any build begins.

4

Shift-Fill Agent Launch

Voice and SMS agents go live, typically within 6 to 10 weeks, with a supported rollout for coordinators and clear escalation rules. Measurable reductions in fill time and after-hours calls from the first month.

5

Expansion

Add progress-note and incident documentation, accreditation evidence, family communications and care-risk intelligence as the business case matures. Each module lands independent value and stands on its own.

Where We Work

Across every Australian state and territory.

We work with aged care, disability and community health providers across all Australian states and territories: metro residential homes, home and community care, rural and remote services, and multi-site NDIS organisations. Our team is Australian and NZ based with no offshore handoffs, and compliance with the Aged Care Quality Standards and NDIS Practice Standards is designed into every engagement, not retrofitted.

Sydney Melbourne Brisbane Perth Adelaide Canberra Townsville Darwin Regional NSW Regional VIC
FAQ

Questions healthcare providers ask us.

We are heavily regulated under Aged Care Quality Standards. Can AI be used safely?+
Yes, and safety is the starting point, not an afterthought. Every engagement opens with a governance design: clinical safety boundaries, data handling, audit trails and human-in-the-loop controls aligned to the strengthened Aged Care Quality Standards, NDIS Practice Standards and the Australian Privacy Principles. The AI drafts progress notes, runs the shift-fill rounds and assembles accreditation evidence, but a registered nurse or care manager signs off anything clinical. AI supports your staff and your administration. It does not make clinical decisions and it does not replace clinical judgement.
Will AI shift-fill feel respectful to our staff?+
Yes, when it is designed well. Personal care workers, ENs and RNs get contacted in the channel they prefer, with the site, shift time and pay clearly stated, and only when they are eligible and inside their fatigue and availability limits. They accept or decline with one reply, no explanation and no guilt. The contrast with being rung down a list at 4am is immediate. When the sick-call stops being a nightly ordeal, casual staff pick up more shifts and fewer walk away, so retention improves because the experience improves.
Will it work with our rostering software such as Humanforce, Roubler, Tanda, Deputy, ShiftCare?+
Yes. We integrate with the rostering, payroll and care management systems Australian providers actually run, including Humanforce, Roubler, Tanda, Deputy, ShiftCare and Procura. The AI reads award rules, qualifications and availability from your existing platform and writes confirmed shifts back to it. Coordinators and care staff keep working in the same systems they know. The intelligence layer sits on top and does the chasing.
What about resident and patient privacy?+
Every engagement starts with a Privacy Act compliant data-handling design covering the sensitive health information you hold. Resident, client and patient data is governed, purpose-limited and never sent offshore. We host on Australian infrastructure with no offshore handoffs, restrict each agent to the minimum data it needs, and document every data flow so it slots straight into your governance and quality reporting.
Can AI help with NDIS plan management and claiming?+
Yes. AI agents can draft progress notes and shift reports against NDIS support line items, match delivered supports to the participant plan, flag budget under and over-spend, and assemble audit-ready evidence for claiming. Support coordinators and plan managers review and approve rather than typing from scratch, which cuts hours of administration each week and reduces the unclaimed and clawed-back revenue that comes from thin documentation.
What does an engagement cost for a mid-size provider?+
Engagements for a provider with 200 to 2,000 staff are scoped to strategy, a productivity rollout for administration and care management teams, and shift-fill agent deployment integrated with your rostering platform. ROI is modelled in the workshop before any build, and most engagements pay back inside 12 months on reduced agency and overtime spend and recovered coordinator time alone.
How quickly will coordinators feel the difference?+
Voice and SMS shift-fill agents typically go live within 6 to 10 weeks and cut shift-fill time from the first month, so the after-hours phone rounds stop almost immediately. Productivity gains for office and care management teams, such as faster progress notes and incident reports, show up within the first month of rollout as staff move from typing to reviewing.
How does AI handle accreditation evidence and quality reporting?+
AI agents can continuously compile, organise and format accreditation evidence from your operational systems, including incident reports, care and behaviour support plans, clinical indicators, complaints, audit trails and staff training records, and map it against the Aged Care Quality Standards. Instead of a scramble before an unannounced visit, quality managers keep a live, indexed evidence pack that turns accreditation preparation from weeks of collation into a review.

Healthcare organisations that invest in AI capability now are better positioned to build lasting staffing resilience.

Every week the sick-call runs by hand is another week of agency premiums, overtime and coordinators losing sleep, and another week your clinical staff spend typing instead of caring. Book an obligation-free consultation with an AI Surge healthcare specialist. We will model the ROI for your specific provider type, on agency spend, coordinator time and documentation hours, before any commitment is made.

Book a Strategy Session

Obligation-free · Australian and NZ based · No offshore handoffs