Agency spend is discovered, not managed
The cost of covering a vacancy lands in the ledger weeks after the shift, so the decisions that drove it are long past being changeable.
Residential care
Care operators live and die by occupancy and agency spend, and typically hold each in a different system with a different owner. Fee income varies by resident, by funder and by care package; agency cost spikes weeks before anybody sees it in a management account. We join the care system, the rota and the ledger so a home manager can see the effect of a placement or a shift on contribution while there is still time to act on it.
Discuss your operationWhat we usually find
The cost of covering a vacancy lands in the ledger weeks after the shift, so the decisions that drove it are long past being changeable.
Local authority, NHS and private fees carry different rates, uplifts and payment behaviour, and blending them into one revenue line hides which mix is actually profitable.
Reporting shows the occupancy percentage without the dependency mix behind it, so two homes at the same occupancy can have entirely different economics.
Where we start
Scope depends on the state of your systems. These are the pieces that recur in this sector.
Fee income, staffing, agency and controllable cost per home, reconciled to the ledger and reported on a timetable a manager can act on.
Agency cost attributed to the vacancy that caused it, surfaced weekly rather than at month end.
Contribution by funder type and care package, so the commercial effect of a placement decision is visible before it is made.
Occupancy joined to dependency and staffing requirement, so the number reflects the work involved rather than just the beds filled.
What changes
You own all of it: the code, the written definitions and documentation aimed at whoever maintains this after us.
The builds behind it
Your finance, customer and operational records joined into one dataset, with each figure defined once and traceable back to the system it came from.
Reporting built on top of the joined data, aimed at the few revenue and cost drivers that actually change the result.
One defined task, automated inside a process that already exists, measured against whatever it replaced.
Driver-based models built on the same definitions as your reporting, so the forecast and the actuals stop disagreeing.
Worth asking