Compares funded posts with actual staffing levels.
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Advisory and implementation for the public sector, starting with the AI readiness assessment.
The funded posts are set out in the agreement; actual staffing is in the duty roster and in payroll. The two are only brought together when controlling pulls an extract for the negotiation. Until then the ward runs with a gap, and nobody records for how long.
The gap of 3.5 full-time equivalents shows up in the reconciliation every month instead of once before the negotiation, and revenue losses fall by 45%.
The 45% reduction in revenue losses is this agent's headline figure. The number of posts, the staffing level and the number of reconciliations describe a typical year in a hospital; they are not measured values.
The agent reads the funded posts from the agreement and actual staffing from the duty roster and payroll. It converts both sides into full-time equivalents.
Nursing reconciliation Q2/2026, 38.0 funded vs. 34.5 filledFor each month, the agent records how many funded full-time equivalents actually worked. Every gap is logged with area, month and duration.
Gap list Q2/2026, 2 areas, longest gap 4 monthsThe agent puts the areas with the largest difference at the top and gives the source for every figure. Controlling and nursing management decide what action to take.
refinanzierung_abgleich_Q2-2026.xlsx, 2 areas with a differenceIt names the area, month and size of the gap. Nursing management arranges advertising and hiring.
It supplies the comparison as a basis. Executive management goes into the negotiation with controlling.
They appear neither in the duty roster nor in the HR system and are therefore missing from the 34.5 filled full-time equivalents. Nursing management adds them to the gap list by hand.
Connected systems
Operations
A pilot typically runs on your own data within 4 to 6 weeks. The agent connects to your existing systems rather than running as a separate, parallel environment.
EU cloud, private cloud or on-premises. Processing is GDPR-compliant and models are never trained on your data. Details in the Trust Center.
It is based on experience from comparable projects and process benchmarks, not a commitment. We work out the realistic effect for your organisation during the assessment before the pilot.