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New Work can also work in insurance agencies – if companies have the courage to try something new! Experimental spaces, clear hypotheses and a positive error culture are the key to successful transformation. In my blog post, I show how agile approaches improve customer service and make sales more flexible.

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17.03.2025 By Frederik Julius Szmania and Anton Schönle

PSLifeGPT - AI meets life insurance

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Tedious searches through software documentation are a thing of the past! With PSLifeGPT, we use Generative AI to make the extensive documentation of in|sure PSLife available directly in the chat. Our intelligent chatbot combines cutting-edge RAG technology with the power of Large Language Models to deliver precise and well-founded answers with source references. In this blog post, we will show you how this works in detail.

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Customer surveys provide valuable insights – but evaluating open responses is often a laborious and confusing process. In my blog post, I explain how insurance companies and pension providers in company pension schemes can use AI-supported semantic analysis to efficiently analyse feedback from their target groups, identify patterns and derive targeted improvements. Find out how AI can help you better understand the voice of your customers and make your company pension offers even more successful.

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The last domino has been eaten, the last firecracker shot, and the Christmas tree has long since celebrated its well-deserved retirement on the organic waste heap. So it's high time to look ahead to the new year. Regulation continues to evolve, especially for the finance and insurance industry. What new requirements will come into force in 2025 and on what date? What is to be expected? Where is there a need for action and improvement?

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The insurance industry is increasingly shifting its focus to customer centricity in order to ensure a stable and growing customer base. The transformation from a contract-centred to a customer-centred business model brings challenges and opportunities. It requires not only a strategic realignment, but also fundamental adjustments to the data model and IT architecture. This blog post highlights the differences between the models and their implications for data management and technology.

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11.12.2024 By Anastasiia Kalmykova and Alexander Blattmann

Hybrid knowledge agents in insurance companies

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Modern insurance companies are increasingly relying on knowledge agents to provide their employees with quick access to comprehensive expertise and answers to complex questions. But how can this be done without compromising data protection? A hybrid approach could be the key: external AI models are used for question processing, while sensitive data is processed internally only. Find out more in our blog post.

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The increasing energy consumption in IT is a major challenge for insurers. With the Green Software Workshops from adesso, we support you in initiating a sustainable IT transformation. From energy-efficient programming to the use of renewable energies – our workshops provide practical approaches and tools for reducing the ecological footprint and lowering operating costs. In my blog post, I present our Green Software Workshops in more detail.

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20.11.2024 By Dominik Schmohr and Ann-Kathrin Brys

Customer service of the future

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The customer service of the future in the insurance industry will be based on fast, seamless and personalised interactions. Thanks to digitalisation and AI, insurers will be able to support their customers around the clock and across all channels. In our blog post, we show how automated processing and proactive communication can optimise the service experience to meet the increasing demands of customers.

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Imagine an insurance company decides to modernise its entire IT landscape. The technology is ready, the plans are drawn up, and yet the project encounters unexpected obstacles. The reason? No, not the poor preparation phase this time. The human factor. In this blog post, I highlight the human aspects of IT transformations in the German insurance industry and show why they often mean the difference between success and failure.

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