AI-driven claims & application platform
Cloud-native application and claims platform with AI-based case classification and fraud detection — in stable production.
A multi-stage application and claims workflow needed to classify cases automatically, detect fraud patterns and run reliably around the clock — in a heavily regulated setting where every decision must be traceable.
Cloud-native platform on Kubernetes with clean service separation for application, claims and review.
AI models for case classification and fraud detection, embedded in auditable decision paths.
Human-in-the-loop and escalation so flagged cases route to a caseworker.
Monitoring, SLAs and load paths for resilient continuous operation — not a prototype.
- intakeapplication & claim
- classifyAI case classification
- guardrailpolicies & limits
- routeautomatic or human
- audit-logevery decision
route-to-humanFlagged cases route to a caseworker — with full context for the decision.
Every application and claim takes the same auditable path: models classify and flag fraud patterns, guardrails check by machine, every decision lands in the audit trail.
A real, deployed system that routes applications and claims intelligently, flags fraud risk early and backs every automated decision with an audit trail.
StackKubernetes · AI classification · Fraud detection · MLOps · Audit logging
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SIFAMO GmbH — Berlin · Frankfurt