Thriving Kids Starts in October. Can You Say What Share of Your Revenue It Touches?
Thriving Kids Starts in October. Can You Say What Share of Your Revenue It Touches?
The funding source under paediatric allied health is being redirected — but the NDIS access change behind it still isn't law. That combination is a planning problem, and most practices can't even measure their exposure.
From 1 October 2026, state-commissioned Thriving Kids services begin rolling out for children aged 8 and under with developmental delay and/or autism and low-to-moderate support needs. The program is backed by $4 billion over five years agreed between the Commonwealth and the states — $2 billion from the Australian Government, of which at least $1.4 billion goes to states as direct funding for services. It's expected to be at scale by 1 January 2028.
For allied health practices built on NDIS early childhood work, this is not another pricing tweak. It's the funding source itself being redirected — from an open provider market that families access with a plan, to a state-commissioned model. Different buyer, different rules, different way of getting in the door.
What's Confirmed, and What Isn't
This is worth being precise about, because the two halves have very different status.
Confirmed: the funding, the timing and the cohort. Governments have committed the $4 billion. Thriving Kids will commence rollout of state services no later than 1 October 2026 and is expected to be at scale from 1 January 2028. Children with permanent and significant disability — including those aged 8 and under with high support needs — remain eligible for the NDIS under the usual arrangements.
Not confirmed: the NDIS access change itself. The Commonwealth, states and territories have agreed in principle to change NDIS access arrangements for children from 1 January 2028 — and those changes require amendments to the National Disability Insurance Scheme Act 2013. Legislation that hasn't been introduced isn't law, and "agreed in principle" is not the same thing as settled. Meanwhile the detail that matters most commercially — how each state commissions services, what the panel arrangements look like, what the pricing is — is still being finalised jurisdiction by jurisdiction.
So the honest framing for a board paper is: the direction is clear and funded, the mechanism is not yet legislated, and the operational detail you'd need to bid for work doesn't exist yet in most states. Plan for the direction. Don't budget on the detail.
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760k → 600k
Participant numbers the Minister set out at the National Press Club on 22 April 2026 — current, and the target for 2030.
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2% a year
Scheme growth is to be wound back to 2 per cent annually for four years before returning to 5 per cent from 2030, targeting $15 billion in annual savings by 2030.
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50%
Share of the relevant hourly price limit therapy providers have been able to claim for travel time since 1 July 2025 — a compression that's already a year old.
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$4bn / 5yrs
Joint Commonwealth–state commitment to Thriving Kids, with at least $1.4bn of the Commonwealth's $2bn flowing to states as direct service funding.
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Two Compressions, One Window
The reason this lands harder than it looks on paper is that it isn't arriving alone.
Since 1 July 2025, therapy providers have been able to claim only 50 per cent of the relevant price limit for travel time, subject to the usual time caps by location. For a mobile paediatric practice built around visiting homes, schools and early learning centres, that was a direct margin reduction on every appointment involving a drive — absorbed, in most cases, by working longer days rather than by repricing.
Now the cohort itself starts moving. A practice that quietly took a haircut on travel in 2025, and treated it as a bad year, is heading into a period where the referral pipeline for a specific age group is redirected to a different buyer entirely.
Individually, each of these is manageable. A travel cap you restructure your schedule around. A funding transition you position for. The risk sits with practices carrying fixed costs they can't unwind quickly — commercial leases with years to run, employees on contracts, an overhead structure sized for a revenue base that may be materially smaller in eighteen months. Finance teams in this sector spend a lot of time on claims accuracy and comparatively little on revenue concentration. Claims accuracy isn't going anywhere as a priority — but with a specific age and support-need cohort now facing a funding transition, concentration risk deserves a regular place on the same agenda, not just an annual mention.
The Number Almost Nobody Has
Ask a paediatric allied health practice what percentage of its revenue comes from NDIS-funded children aged 8 and under with low-to-moderate support needs, and you will usually get a shrug and an estimate.
That isn't carelessness. It's a data structure problem. Practice billing is organised by support item and by participant, not by cohort. Age sits in the clinical record. Support-need level often isn't recorded as a field at all — it's implicit in the plan, which lives in a PDF or a plan manager's portal. So the question "how much of our revenue is in the transition cohort?" requires joining three things that were never designed to be joined.
The consequence is that most practices will discover their exposure by watching referrals slow down, which is the most expensive possible way to find out.
Where AI Actually Helps
This is a genuinely good AI use case, and a narrow one: it's a joining and classification problem across records that were never structured for the question being asked.
The task is to take twelve to twenty-four months of billing data, join it to the client record for date of birth, and classify each participant into cohorts — under 9 versus 9 and over, and within the younger group, an indicative split by support intensity using whatever proxies you actually hold (plan value, service frequency, support items claimed, referral pathway). Then produce a revenue-mix view: what share of billings, by month, sits in the cohort that transitions.
Two things to be honest about. The support-need classification will be a proxy, not a fact — you're inferring intensity from billing patterns, and you should label it that way in any board paper. And this is real client data, so the governance around it is not optional. What you get out is not a precise number. It's the difference between "we think it's a fair chunk" and "it's 34 per cent of billings, concentrated in two clinicians, and here's the monthly trend." That's enough to make decisions with.
From there the modelling is ordinary finance work: what happens to contribution margin if that cohort's revenue falls 30 per cent, or 60 per cent, over the 2027 calendar year? Which fixed costs are unwindable inside that window and which aren't? What would the practice need to replace it with, and how long does building that referral base actually take? AI can build and stress-test the model quickly. It can't tell you which scenario is realistic — that's judgement, and it's the part worth your time.
What to Do Between Now and October
Measure the exposure first — you can't have any of the other conversations without a number. Then watch your own state's commissioning process specifically, not the national announcements; the arrangements that determine whether you're in or out will be set jurisdiction by jurisdiction, and the timing differs. Track the NDIS Act amendments as a standing item, and keep the "proposed" label on anything that hasn't passed. Stress-test the balance sheet against a cohort revenue decline through 2027, with particular attention to lease and employment commitments that extend past the transition. And if the honest answer to "where does our next referral come from without the NDIS pathway?" is silence, that's the strategic question — not the pricing.
Do you know what share of your revenue moves in 2027?
Turning billing data into a defensible revenue-mix view — and then into a scenario the board can act on — is the work that makes a transition survivable. PFL provides senior-level outsourced finance, management reporting, and AI automation for Australian NFP, NDIS, and SME organisations.
Talk to PFL →Sources
- NDIS — Thriving Kids (National Cabinet agreement, funding and timing)
- Department of Health, Disability and Ageing — Thriving Kids
- Department of Health, Disability and Ageing — Thriving Kids questions and answers
- Minister Butler — speech at the National Press Club, 22 April 2026
- NDIS — Travel claiming rules, gap fees and other costs
- NDIS — Pricing arrangements and price limits
- National Disability Insurance Scheme Act 2013 (Cth)
Tomorrow: new modelling says AI could add $4.8 billion a year to Australia's small accounting sector. The number is less interesting than the assumption underneath it.
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