In many engineering disciplines, modeling is considered an essential part of the development process. Examples are model-based development in software engineering, enterprise engineering in industrial organization, or digital twin engineering in manufacturing. In these engineering disciplines, the application of modeling usually includes different phases such as target setting, requirements elicitation, architecture specification, system design, or test case development. The focus of the work presented in this paper is on the early phases of systems development, specifically on requirements engineering (RE). More specifically, we address the question of whether domain experts can be substituted by artificial intelligence (AI) usage. The aim of our work is to contribute to a more detailed understanding of the limits of large language models (LLMs). In this work, we widen the investigation to include not only processes but also required roles, legal frame conditions, and resources. Furthermore, we aim to develop not only a rough process overview but also a detailed process description. For this purpose, we use a process from hospitality management and compare the output of ChatGPT, one of the most popular LLMs currently, with the view of a domain expert.