Risk Management
With customers describing their needs in images, emails, and reports using their local language, Zurich Insurance Group recognized the challenge to translate unstructured data into a rules-based environment.
Reported impact
Westermann says, “The new GenAI capabilities allow us to build bespoke, multimodal tools that benefit our underwriters and customers. But even going beyond helping underwriters, we are driving GenAI adoption throughout the insurance value chain, ultimately supporting our customers to become more resilient.”
With customers describing their needs in images, emails, and reports using their local language, Zurich Insurance Group recognized the challenge to translate unstructured data into a rules-based environment. Zurich Insurance Group turned to tools such as Microsoft Azure OpenAI Service for its advanced language AI, text-to-speech models, and highly secure, enterprise-grade Azure features. Zurich Insurance Group is developing advanced AI applications that lead to more accurate and efficient risk management evaluations, accelerating the underwriting process, reducing turnaround times, and increasing customer satisfaction. Working to get information faster, Zurich wanted to transform how and how quickly the company serves its customers, making real-time access to data and analytics critical to its mission.
Content from enterprise documents and knowledge sources is ingested into Azure OpenAI Service, where it is indexed, enriched, or reasoned over before grounded answers are returned to employees through business applications.
Westermann says, “The new GenAI capabilities allow us to build bespoke, multimodal tools that benefit our underwriters and customers. But even going beyond helping underwriters, we are driving GenAI adoption throughout the insurance value chain, ultimately supporting our customers to become more resilient.”
With customers describing their needs in images, emails, and reports using their local language, Zurich Insurance Group recognized the challenge to translate unstructured data into a rules-based environment.
Working to get information faster, Zurich wanted to transform how and how quickly the company serves its customers, making real-time access to data and analytics critical to its mission.
Zurich Insurance Group is developing advanced AI applications that lead to more accurate and efficient risk management evaluations, accelerating the underwriting process, reducing turnaround times, and increasing customer satisfaction.
Zurich Insurance Group turned to tools such as Microsoft Azure OpenAI Service for its advanced language AI, text-to-speech models, and highly secure, enterprise-grade Azure features.
Review how this reference was scored and trace each normalized claim back to its documented source.
Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
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