Zurich Insurance deploys over 200 AI tools including GenAI underwriting applications
Zurich Insurance Group, a global insurer headquartered in Switzerland, adopted Microsoft Azure OpenAI Service to translate unstructured customer data -- images, emails, and reports in many languages -- into its rules-based underwriting environment. Zurich is developing advanced, bespoke, multimodal GenAI applications that lead to more accurate and efficient risk evaluations, accelerating the underwriting process and reducing turnaround times. Zurich now has more than 200 AI tools deployed across its global, decentralized footprint, with Azure AI acting as a coach that helps underwriters gain experience faster and ask better questions.
Overview
Zurich Insurance Group, a global insurer headquartered in Switzerland, adopted Microsoft Azure OpenAI Service to translate unstructured customer data -- images, emails, and reports in many languages -- into its rules-based underwriting environment. Zurich is developing advanced, bespoke, multimodal GenAI applications that lead to more accurate and efficient risk evaluations, accelerating the underwriting process and reducing turnaround times. Zurich now has more than 200 AI tools deployed across its global, decentralized footprint, with Azure AI acting as a coach that helps underwriters gain experience faster and ask better questions.
This entry has 12 published fields tied to exact passages in an immutable source capture.
Inspect the highlighted sourceThe challenge
Zurich's customers describe their needs in images, emails, and reports using their local language, making it challenging to translate this unstructured, multilingual data into Zurich's rules-based underwriting environment.
The solution
Zurich turned to Microsoft Azure OpenAI Service for advanced language AI, text-to-speech models, and highly secure, enterprise-grade Azure features, developing advanced, bespoke, multimodal GenAI applications for underwriters.
Reported business value
The AI applications lead to more accurate and efficient risk management evaluations, accelerating the underwriting process, reducing turnaround times, and increasing customer satisfaction; Zurich now has more than 200 AI tools deployed, with Azure AI acting like a coach that helps underwriters gain experience and ask better questions faster.
Sources
Open any source and check the claim yourself — that is the point of the register.
This record was researched and written with AI assistance, and its claims were checked against the sources above. (EU AI Act art. 50 transparency notice.)
Other insurance entries in the register.
UNIQA SEE cuts health insurance claims processing times by 90% with Azure AI
UNIQA SEE's claims handlers faced fragmented documents, manual tasks, and heavy call-center reliance that slowed claims processing. Using Microsoft Azure AI alongside Microsoft Foundry, Azure Document Intelligence, and Azure OpenAI, UNIQA SEE built an end-to-end AI-driven medical referral solution that extracts, validates, and integrates referral letter data via APIs into the core claims system. The solution reduced claims processing time from 15-30 minutes to 2-3 minutes (an 85-90% reduction), lowered costs and call volumes, and freed staff for higher-value work. UNIQA SEE also introduced a self-service web and mobile app allowing customers to submit medical referral letters digitally. UNIQA SEE became the first insurer in Southeastern Europe to implement an AI-powered business process solution of this kind.
UNIQA Insurance Group· AustriaMicrosoft Azure AI · Microsoft Foundry · Azure Document Intelligence +1
How Mapfre Insurance modernized fraud claims with Amazon EMR Serverless
Mapfre Insurance, the number one auto and home insurer in Massachusetts, modernized fraud detection by combining graph-based features from Neo4j with machine learning models deployed on AWS, using Amazon EMR Serverless, Apache Iceberg tables on Amazon S3, AWS Glue Data Catalog, AWS Lake Formation, and Amazon MWAA for orchestration. Fraud predictions integrate directly with Guidewire Claims via AWS Lambda, automatically creating claim activities showing the top model drivers for adjusters. The initiative, covering Massachusetts Auto insurance and later expanded to Home insurance, has delivered more than $5 million in Net Present Value, with detection accuracy improved 50-135 percent compared to baseline methods.
Mapfre Insurance· United StatesAmazon EMR Serverless · Apache Iceberg · AWS Glue Data Catalog +5Generali Luxembourg deploys a disconnected, sovereign AI environment with DEEP for AML/KYC document analysis
Generali Luxembourg, a life insurer, deployed open-source large language models on a dedicated environment hosted by DEEP (POST Group) in Luxembourg data centres, with no connection to the outside world, to meet supervisor data-confidentiality constraints. The first use case, still in the POC phase, supports AML/KYC operations by analysing customer-provided documents and cross-checking information; a human operator keeps the final decision. The source says the first use case took three months to deploy and that the time to respond to a new request, previously up to two days, will now be thirty minutes.
Generali Luxembourg· LuxembourgEfficiency meets data sovereignty: Lector automates document processing with AI
Lector, a platform for intelligent document processing used by more than 60 corporate customers including over 25 health insurers, migrated its productive cloud services from a major American cloud provider to OVHcloud's German data centre to meet GDPR and data-sovereignty requirements. Using OVHcloud Managed Kubernetes, S3-compatible Object Storage, and AI Training/AI Deploy/AI Endpoint services, Lector achieved over 80% time savings in document processing across more than 500 million pages processed to date, while reducing the operational burden of running Kafka and MongoDB themselves.
lector.ai GmbHKubernetes · S3-compatible Object Storage · Kafka +2Was this helpful?
Your feedback helps us improve our use case database