{"slug":"a-european-multi-line-insurer-co-develops-generative-ai-solutions-with-capgemini-including-a-rag-chatbot-for-travel-insurance-queries","url":"https://findausecase.com/use-cases/a-european-multi-line-insurer-co-develops-generative-ai-solutions-with-capgemini-including-a-rag-chatbot-for-travel-insurance-queries","title":"A European multi-line insurer co-develops generative AI solutions with Capgemini, including a RAG chatbot for travel insurance queries","description":"A European multi-line insurer partnered with Capgemini across its business entities to create a generative AI roadmap and co-develop solutions: multilingual meeting transcription and summarization, a RAG-based chatbot to analyze and generate ESG reports (with a comparative study of Mistral AI and GPT-4 models), and a RAG-based chatbot that answers general travel insurance customer queries from travel terms and conditions documents. The source reports a 12-time reduction in manual work for generating meeting summaries and 91% accuracy in travel insurance query responses with live agent validations.","company":"Undisclosed European multi-line insurer (client of Capgemini)","industry":"Insurance","aiCapabilities":["Generative AI","Conversational AI"],"deployment":"Unknown","problemStatement":"The insurer sought to increase operational efficiency and enhance the employee and customer experience by adopting generative and agentic AI at scale, and needed a clear roadmap for how to implement AI solutions and which use cases to choose.","solutionApproach":"Capgemini partnered with multiple business entities across the insurer to create a strategic roadmap for adopting generative AI across its business units, beginning with an assessment of existing processes and systems. Solutions co-developed include a generative AI solution that transcribes and summarizes multilingual meetings, a RAG-architecture chatbot to analyze and generate ESG reports, and a RAG-based chatbot for travel insurance that references the company's travel terms and conditions documents to answer general customer queries such as coverage checks.","businessValue":"The source reports that one implementation made it possible to achieve a 12-time reduction in the manual work associated with generating meeting summaries, which also accelerated that entity's time to market, and that the travel insurance chatbot achieved 91% accuracy with live agent validations. The ESG report chatbot helped produce insights more quickly and reduced the amount of manual work by analysts.","evidence":{"band":"high"},"sourceUrl":"https://www.capgemini.com/wp-content/uploads/2026/06/European-insurer-client-story-case-study.pdf","dates":{"publishedAt":"2026-10-12T05:49:58.484Z","publishedAtSource":"pipeline","updatedAt":"2026-10-12T05:49:58.484Z"},"license":"Open for reading and citing with a link to https://findausecase.com/use-cases/a-european-multi-line-insurer-co-develops-generative-ai-solutions-with-capgemini-including-a-rag-chatbot-for-travel-insurance-queries. Bulk republication requires permission."}