Insurers are facing increasing cost pressure in the market and price-sensitive behaviour from their customers. It is important to minimise risks in the portfolio and to tap into new customer segments. This requires not only a central data strategy, but also a data platform. Building on this, scalable AI use cases can be established for (partially) automated processes that contribute to value creation in the company.

Today, customer experience requirements vary greatly depending on the generation and individual life situation. Successful sales strategies require a deep understanding of customer needs, which are also changing faster and faster. The increasing demand for fast and personalised services makes a holistic customer-centric approach with innovative tools and AI integration indispensable.

Innovative value-added services can be easily connected to digital platforms with standardised interfaces. They make it possible to process information across core systems and build new business models, for example in motor or industrial insurance. Brokers and insurers' end customers alike benefit from seamless processes and additional offerings in a strong ecosystem.

Specialists in mainframe-based systems are becoming increasingly scarce, while regulatory requirements are constantly increasing. Without strategic measures, there is a risk not only of compliance challenges but also of an innovation bottleneck. In combination with modern technologies, models such as managed services, smart sourcing or cloud IT infrastructures can future-proof and optimise insurance processes.