A European multi-line insurer co-develops generative AI solutions with Capgemini, including a RAG chatbot for travel insurance queries
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.
Overview
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.
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Inspect the highlighted sourceThe challenge
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.
The solution
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.
Reported business value
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.
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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