The NDIS SIL provider in this story is fictional. The mechanics are not.
Picture a mid-size SIL provider. Fifteen participants, most funded at 2:1 for assessed behavioural and manual handling need. Around $14 million in annual revenue, two hundred staff, a head office of fifteen, a vehicle fleet, workers compensation premiums set against a $9 million wage bill. Margin: roughly 4%. Nobody would call this provider inefficient — this is what the NDIS price limits assume a compliant operator looks like.
Six months later, the directors are taking insolvency advice. Here is how it happens, and — more importantly — where in the sequence the outcome was still avoidable.
The sequence
In month two, plan reassessments land for six participants. Ratios are cut from 2:1 to 1:1. There is no transition funding, no notice period, no conversation. The participants’ needs haven’t changed; the funding decisions have. Weekly revenue drops by six figures. Weekly costs drop by almost nothing, because permanent staff have guaranteed hours, the SCHADS Award requires notice for roster changes, and the award does not care what the plan says.
In month three, the provider does everything right. Section 48 change-of-circumstances requests are lodged. Fresh occupational therapy and behaviour support evidence is commissioned — at the provider’s cost. Meanwhile the operator faces a choice nobody funds: staff the houses at the assessed 2:1 and subsidise the Commonwealth from working capital, or staff at the funded 1:1 and breach WHS duties to workers and the behaviour support plans the NDIS Commission requires them to follow. One arm of government cut the funding. Another arm will prosecute the consequences.
In month four, the restructure begins. Consultation obligations, notice periods, redundancy pay and leave payouts crystallise roughly $2.5 million in termination liabilities at the exact moment revenue halved. Insurance premiums don’t refund mid-term. Vehicle leases run to term. A head office built for $14 million now sits on $7 million.
By month six, the insolvency advice is unambiguous: stop trading before the cash runs out, or trade on and expose the directors personally. The responsible decision is to wind down early. Fifteen participants with complex needs go looking for a provider willing to take 2:1 work — in a market that just watched what happens to providers who do.
The uncomfortable diagnosis: this was an information failure before it was a funding failure
It’s tempting to read this story as pure policy critique — a business whose entire revenue is controlled by a single payer that can reprice unilaterally, while every cost on the other side of the ledger is fixed by statute. That critique is valid, and we’ve made it elsewhere. But it lets providers off the hook too easily, and it misses where the survivable version of this story diverges from the fatal one.
Walk back through the timeline and ask a different question at each stage: *what did the provider know, and when?*
Before month one, the exposure was already visible — to anyone who could see it.
Six of fifteen participants had plan reassessments falling in the same quarter. That is a revenue concentration risk of the most basic kind, and it was sitting in the plan data the whole time. A provider that tracks reassessment dates against revenue-at-risk sees this six months out and starts de-risking: staggering agreements, lifting the casual mix in the exposed houses, building evidence files early, sizing the cash buffer against the worst-case quarter rather than the average one. The fictional provider didn’t fail to act on the risk. It failed to *see* it, because plan dates lived in fifteen separate participant files and the revenue model lived in a spreadsheet that was three months stale.
In month two, the damage compounded at the speed of the provider’s reporting cycle.
If margin per house is something the operator learns at month-end — or worse, at BAS time — then every week between the funding cut and the management response burns six figures invisibly. The provider that sees roster cost against funded hours in real time starts the SCHADS consultation clock in week one, not week six. In this story, the difference between a week-one response and a week-six response is close to a million dollars — more than the entire annual margin.
In month three, the s48 and s100 processes were only as strong as the records behind them.
Reviews of ratio decisions are won on evidence: incident data, restrictive practice records, support logs, progress notes that demonstrate what 2:1 support actually does for that participant on an ordinary Tuesday. A provider whose incident reports, shift notes and BSP data live in one system can put a evidence-backed submission together in days. A provider reconstructing the case from paper files, emails and staff memory takes weeks it no longer has — and submits a weaker case at the end of it.
In month four, the restructure ran blind.
Which houses are loss-making at the new ratios and which are marginal? Which staff movements minimise redundancy exposure while keeping the compliant skill mix in each home? These are data questions. Answered well, the restructure is surgical. Answered by feel, it is both slower and more expensive — and in this story, slower *is* more expensive.
None of this rescues a provider from the structural asymmetry. If the funding model transfers uncosted shock onto operators, some shocks will exceed any operator’s capacity to absorb. But the gap between the provider that fails in month six and the one that survives bruised is almost always the same thing: the speed at which reality reaches the decision-makers.**
Where HuGo fits
This is precisely the problem HuGo was built around — not as an administrative convenience, but as the operating layer that closes the gap between what is happening in a provider’s houses and what its leadership can see.
Because participant plans, funding, rosters, incidents and support documentation live in one platform rather than fifteen files and a stale spreadsheet, the risks in this story surface while they are still manageable. Reassessment exposure is visible as a forward view of revenue at risk, not a surprise in the inbox. Roster cost sits against funded hours continuously, so a ratio change shows up in the numbers the week it lands — not at month-end. And when the provider needs to fight a funding decision, the evidence for a s48 request or s100 review — incident histories, support logs, the documented reality of what 2:1 support prevents — is already structured, already dated, and ready to be put in front of a delegate.
The honest claim is this: software does not fix the policy problem, and we won’t pretend it does. What it changes is the two variables that decided the fictional provider’s fate — time and evidence. Time, because a shock detected in week one instead of week six is the difference between a controlled restructure and a fire sale. Evidence, because review outcomes follow documentation, and documentation is either a by-product of how you already work or a scramble you can’t afford.
The providers who get through the next few years of Scheme reform will not be the ones with the biggest buffers — the pricing model doesn’t allow anyone to build those. They will be the ones who see their own exposure before the Agency’s letter arrives.
If you run SIL and you cannot currently answer, today, which of your participants’ plans reassess this quarter and what percentage of your revenue rides on them — that is the conversation to have with us.