AI use case

Allianz Project Nemo: 7 AI Agents for Insurance Claims and Fraud Detection

Allianz deployed Project Nemo, a multi-agent AI system with 7 specialized agents for insurance claims automation and fraud detection. The system achieved 80% reduction in claims…

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Company/Organization: Allianz
Industry: Insurance
Location: Munich

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Title

Allianz Project Nemo: 7 AI Agents for Insurance Claims and Fraud Detection

Content

Allianz deployed Project Nemo, a multi-agent AI system with 7 specialized agents for insurance claims automation and fraud detection. The system achieved 80% reduction in claims processing time. For food spoilage claims under AUD 500, processing time dropped from several days to hours. The system processes 15,000 claims daily with 94% accuracy. Human adjusters now focus exclusively on the 6% of claims flagged for complexity. Allianz Switzerland also stopped over EUR 12 million in fraudulent payouts using AI-driven fraud detection. The multi-agent architecture uses a triage agent for initial claims routing, a precedents search agent, and a decision agent that recommends payouts based on coverage terms and fraud risk signals.

URL

https://www.plusai.com/de/blog/ai-in-financial-services-real-roi-data

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