Overview
What it was about.
The remuneration AI checks every recorded service against the applicable remuneration agreement: it detects missing details, implausible combinations and typical sources of error before a bill leaves the building.
Starting point
- Applying complex remuneration rules reliably
- Catching errors before billing
- Keeping expert control with people
Our solution
- Model development with an integrated rule set
- A validation pipeline with plausibility and completeness checks
- Monitoring of results, suggestions rather than automation
The outcome
- Sources of error are spotted early
- Safer, faster checking
- The professional decides — the AI assists
Technology
What we built it with.
PythonRegel-EngineTypeScriptMonitoring
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