InsuranceGenerative AI

European multi-line insurer co-develops generative AI solutions with Capgemini, including a travel insurance RAG chatbot with 91% accuracy

European multi-line insurer (unnamed, Capgemini client)

A European multi-line insurer worked with Capgemini across several business entities on a generative AI roadmap and solutions: multilingual meeting transcription and summarization (12x reduction in manual effort in that area), a RAG chatbot for ESG report analysis (with a comparative study of Mistral AI and GPT-4), and a RAG-based travel insurance chatbot that reached 91% accuracy in customer query responses with live agent validation.

Overview

A European multi-line insurer worked with Capgemini across several business entities on a generative AI roadmap and solutions: multilingual meeting transcription and summarization (12x reduction in manual effort in that area), a RAG chatbot for ESG report analysis (with a comparative study of Mistral AI and GPT-4), and a RAG-based travel insurance chatbot that reached 91% accuracy in customer query responses with live agent validation.

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The challenge

The insurer sought to increase operational efficiency and enhance the employee and customer experience by adopting generative and agentic AI at scale, and first needed a clear direction and roadmap for choosing the most effective use cases.

The solution

Capgemini partnered with multiple business entities to create a strategic roadmap and co-develop generative AI solutions, starting with a comprehensive assessment of existing processes and systems. Solutions included multilingual meeting transcription and summarization, a RAG-architecture chatbot to analyze and generate ESG reports (with a comparative study of Mistral AI and GPT-4 models), and a RAG-based travel insurance chatbot built on the company's travel terms and conditions documents, delivered with business adoption playbooks.

Generative AIConversational AI

Reported business value

Capgemini reports that one implementation achieved a 12-time reduction in the manual work of generating meeting summaries and accelerated that entity's time to market, and that the travel insurance chatbot achieved 91% accuracy with live agent validations. The source describes these as results in certain areas and states the insurer is now positioned to pursue a more efficient and AI-ready future.

Sources

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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.)

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