Insurance
AI-driven claims & application platform
Cloud-native application and claims platform with AI-based case classification and fraud detection — in stable production.
Kubernetes
cloud-native, self-operated
Human-in-the-loop
on flagged cases
Audit trail
on every decision
Challenge
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.
Approach
- 01Cloud-native platform on Kubernetes with clean service separation for application, claims and review.
- 02AI models for case classification and fraud detection, embedded in auditable decision paths.
- 03Human-in-the-loop and escalation so flagged cases route to a caseworker.
- 04Monitoring, SLAs and load paths for resilient continuous operation — not a prototype.
Outcome
A real, deployed system that routes applications and claims intelligently, flags fraud risk early and backs every automated decision with an audit trail.
Technology
KubernetesAI classificationFraud detectionMLOpsAudit logging
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