Technology trends such as artificial intelligence (AI) or robotic process automation (RPA) have the potential to fundamentally change the economy and our everyday lives. ERGO is helping to shape this future and is exploiting the potential of new technologies - with a sense of proportion and taking into account any concerns and risks. The following, freely available documents demonstrate this innovation-friendly and balanced approach.
Guard rails for dealing with artificial intelligence
AI applications offer many opportunities, but there are also concerns and risks. ERGO will exploit the potential of AI for itself, taking these concerns and risks into account. Our core values are reflected in the Munich Re Group Code of Conduct. In addition, the following guard rails define how we as ERGO intend to use and leverage artificial intelligence and the underlying data.
Guidelines for dealing with AI (German version, PDF)
White paper on process automation
In the whitepaper "Robotic Process Automation - Digitising quickly in complex architectures", ERGO experts share their knowledge regarding automation processes. This guide is approximately 35-page long and is based on their own experience and best practices for the development and implementation of process robots within ERGO. It contains numerous tips and recommendations for possible areas of application, technical implementation and the involvement of both management and employees in the digitalisation of a company using Robotic Process Automation (RPA). At ERGO itself, several hundred robots are already in use throughout the Group. Among other things, they help to automate and optimise customer-related processes in order to assist our employees.
White paper process automation (German version, PDF)
White paper on ChatGPT and large language models
In the 30-page guide "ChatGPT and large language models: An introduction with a view to the insurance industry", ERGO experts from the fields of machine learning, conversational AI and innovations share their comprehensive knowledge of large language models (LLMs). In individual chapters, they explain in detail how these models work and their potential, as well as their possible risks and limitations. In addition, the authors use concrete practical examples to show how texts can be created, dialogues conducted or data classified with the corresponding tools. This applies to the insurance sector as well as to other industries.
White paper ChatGPT and language models (German version, PDF)