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Title

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

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…uropean multi-line insurer Region: Europe Industry: Insurance Facebook Linkedin Multiple business entities within the company partnered with Capgemini to co-develop scalable generative AI solutions, achieving a 12x reduction in manual effort and 91% accuracy in travel insurance query responses Client challenge: The insurer sought to increase operational efficiency and enh…

Description

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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…and systems, helping identify where generative AI could create the most impact. The first use case involved the project team working with a business unit to transcribe and summarize multilingual meetings. This generative AI solution automated transcription and coding, freeing up user…
…Governance (ESG) reports. This helped produce meaningful insights more quickly. For this program, Capgemini also performed a comparative study of Mistral AI and GPT-4 models using model evaluation frameworks. This led to the creation of reference architecture for measuring, controlling,…
…RAG-based chatbot to support travel insurance with business adoption playbooks. This use case referenced the company’s travel terms and conditions documents to answer general customer queries, such as coverage checks, and achieved 91% accuracy with live agent validations. Parallelly, Capgemini also worked with the insurer to expand its internal knowl…

Company

European multi-line insurer (unnamed, Capgemini client)

quote · high
…evolutionizes its roadmap with generative AI Download the case study 767 KB pdf Client: European multi-line insurer Region: Europe Industry: Insurance Facebook Linkedin Multiple business entities within the company partnered with…

Region

Europe

quote · high
…evolutionizes its roadmap with generative AI Download the case study 767 KB pdf Client: European multi-line insurer Region: Europe Industry: Insurance Facebook Linkedin Multiple business entities within the company partnered with…

Industry

Insurance

classification · high
…evolutionizes its roadmap with generative AI Download the case study 767 KB pdf Client: European multi-line insurer Region: Europe Industry: Insurance Facebook Linkedin Multiple business entities within the company partnered with…

Problem

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.

derived · high
…l effort and 91% accuracy in travel insurance query responses Client challenge: The insurer sought to increase operational efficiency and enhance the employee and customer experience by adopting generative and agentic AI at scale. Solution: Capgemini partnered with multiple business entities across the organi…
…d agentic AI to spur a new era of growth if adopted at an organizational scale. Before it could make this vision into reality, the insurer knew it needed to set out a clear direction for how to implement AI solutions and choose the most effective use cases for the technology. This meant developing a roadmap that would guide the company into the future so…

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.

derived · high
…ith multiple business divisions to operationalize the insurer’s overall vision. This began with a comprehensive assessment of existing processes and systems, helping identify where generative AI could create the most impact. The first use case involved the project team working with a business unit to tr…
…and qualitative assessments that reduced the amount of manual work by analysts. In another case, Capgemini co-developed a RAG-based chatbot to support travel insurance with business adoption playbooks. This use case referenced the company’s travel terms and conditions documents to…
…p users to focus on other meaningful tasks that required direct, manual effort. For one of the business entities, Capgemini created an intelligence chatbot based Retrieval-Augmented Generation (RAG) architecture to analyze and generate Environmental, Social, and Governance (ESG) reports. This helped produce meaningful insights more quickly. For this program, Capgemi…

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.

derived · high
…on the efficiency and accuracy of each impacted business division. For example, one of these implementations has made it possible to achieve a 12-time reduction in the manual work associated with generating meeting summaries. This boost to efficiency has also accelerated that entity’s time to market. Wit…
…time reduction in the manual work associated with generating meeting summaries. This boost to efficiency has also accelerated that entity’s time to market. With a clear roadmap and early successes, the insurer is now positioned to purs…
…es. This boost to efficiency has also accelerated that entity’s time to market. With a clear roadmap and early successes, the insurer is now positioned to pursue a more efficient and AI-ready future – one where employees can apply their expertise where it has the greatest value…

AI capabilities

Generative AI, Conversational AI

classification · high
…and qualitative assessments that reduced the amount of manual work by analysts. In another case, Capgemini co-developed a RAG-based chatbot to support travel insurance with business adoption playbooks. This use case referenced the company’s travel terms and conditions documents to…

Implementation approach

The insurer first defined a strategic roadmap with Capgemini, which began with a comprehensive assessment of existing processes and systems, then co-developed solutions with individual business entities. Capgemini also worked to expand the insurer's internal knowledge of Gen AI so the organization can sustainably scale future developments.

derived · high
…ith multiple business divisions to operationalize the insurer’s overall vision. This began with a comprehensive assessment of existing processes and systems, helping identify where generative AI could create the most impact. The first use case involved the project team working with a business unit to tr…
…such as coverage checks, and achieved 91% accuracy with live agent validations. Parallelly, Capgemini also worked with the insurer to expand its internal knowledge of Gen AI – ensuring the organization will be able to sustainably expand and scale future developments. Scaling innovation to realize future ambitions The generative solutions have al…

Onboarding approach

The travel insurance chatbot was co-developed with business adoption playbooks, and Capgemini worked with the insurer to expand its internal knowledge of Gen AI.

derived · high
…and qualitative assessments that reduced the amount of manual work by analysts. In another case, Capgemini co-developed a RAG-based chatbot to support travel insurance with business adoption playbooks. This use case referenced the company’s travel terms and conditions documents to…
…such as coverage checks, and achieved 91% accuracy with live agent validations. Parallelly, Capgemini also worked with the insurer to expand its internal knowledge of Gen AI – ensuring the organization will be able to sustainably expand and scale future developments. Scaling innovation to realize future ambitions The generative solutions have al…

Headline outcome

derived · high
…RAG-based chatbot to support travel insurance with business adoption playbooks. This use case referenced the company’s travel terms and conditions documents to answer general customer queries, such as coverage checks, and achieved 91% accuracy with live agent validations. Parallelly, Capgemini also worked with the insurer to expand its internal knowl…

Use case type

Conversational assistant

classification · medium
…and qualitative assessments that reduced the amount of manual work by analysts. In another case, Capgemini co-developed a RAG-based chatbot to support travel insurance with business adoption playbooks. This use case referenced the company’s travel terms and conditions documents to…
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28 Oct 2026, 06:05 UTC
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