Summary
Industry
Healthcare
Use Case
Compliance Decision Engine (Rostering)
Platform
Custom Decision Engine & Compliance Dashboard
Technology Stack
Client
St Agnes Catholic Parish
About the client
St Agnes Catholic Parish is an aged care provider subject to mandated care-minute compliance thresholds under Australian aged care reform, requirements tied directly to funding, not a discretionary quality target. Manual, spreadsheet-based rostering couldn’t reliably show whether a roster, as built, would deliver the required care minutes per resident per day, so compliance status was only knowable in hindsight.
The challenge
A compliant roster could turn non-compliant without anyone noticing.
Compliance status was only knowable in hindsight, after a shift had already run
Rosters change constantly through call-ins, swaps, and availability changes
A compliant roster on Monday could silently become non-compliant by Wednesday
Nobody would notice a breach until an audit or funding review caught it
This was sponsored directly by the CFO’s office, a funding risk first
What we did
humaniseAI’s Studio team built the engine around the reform’s own rules, not a generic model.
Built a decision engine that ingests historic roster and care-minute delivery data
Modelled the forward-looking roster to project compliance status ahead of time
Flagged shifts that met headcount but not the qualification mix minutes required
Worked directly with the CFO’s office to define what counts as compliant care minutes
Delivered a forward view the team could act on before a shift ran, not after
Results
Forward Visibility: Compliance risk surfaced before it became a funding or audit exposure
Real-Time Correction: Teams could reallocate staff or call in cover before a shift ran
Audited Logic Match: Engine logic matches what the reform’s rules actually audit
Reduced Blind Spots: No more discovering a breach after it was already locked in
Proven Against Reform: Tested against a real framework with genuine funding consequences
Takeaway
humaniseAI’s Studio team gave the CFO’s office a system that catches compliance risk before it becomes a funding problem, not after.