As business analysts, we supported the Versicherungskammer Bayern (VKB) in developing a generic dialog management system for their policy administration platform. The objective was to design a flexible and modular architecture that accommodates diverse insurance products. By analyzing existing workflows, we streamlined processes and significantly reduced response times for customer requests.

In a project with msg Insur:it, we developed a cutting-edge solution for optimizing insurance tariffs using artificial intelligence. By applying machine learning algorithms, we created dynamic, data-driven models to adjust premiums based on market trends and customer segmentation. This innovation improved market competitiveness and increased customer satisfaction.

Both projects were successfully delivered: The generic dialog management system enhanced efficiency in policy administration and allowed seamless integration of new insurance products. The AI-driven tariff optimization reduced operational costs and significantly improved pricing efficiency, offering measurable value to the business.