This work’s aim is to take a look at scenarios and requirements for applying artificial intelligence as a company-side tool for occupational safety. The target domain to be focused is the internal safety or risk management respectively. The characteristic data is complex and heterogeneous, which can be hard to analyze regarding their inter-correlations and which in part consist of rare events, such as accidents. Artificial Intelligence and especially Large Language Models provide new approaches to this data problem and to also analyze and model hitherto unknown correlations and to identify corresponding risks. As a safety critical application, the support of risk assessments with artificial intelligence must be grounded in practically relevant scenarios and thoroughly elicited and refined requirements. In this work, we report on the findings from fifteen expert interviews for requirements elicitation and from three scenario workshops. We integrate requirements and scenarios to take a step towards building test scenarios, with which developers can check if they are on target with their systems.