This chapter explores the application of large language models (LLMs) in process mining, mainly focusing on their ability to manage complex queries and interpret processes effectively. It aims to identify which business process management (BPM) tasks LLMs can support and the potential transformative impact on BPM workflows. The study uses ChatGPT, a state-of-the-art LLM, to analyze an event log of travel expenses at a university. A series of prompts are designed to evaluate the model’s performance in extracting process descriptions, identifying anomalies, and generating process insights. The findings demonstrate ChatGPT’s proficiency in transforming complex process mining data into intuitive formats, significantly improving the efficiency and precision of process analysis. The model successfully identified process variants, anomalies, and bottlenecks and provided detailed descriptions of process activities. Integrating conversational AI like ChatGPT into process mining can make these tools more accessible and effective, reducing the need for specialized expertise. This integration has the potential to improve traditional process mining techniques, leading to more insightful and actionable results in BPM. This chapter provides a preliminary exploration of the applicability in process mining, offering valuable information on their potential to transform BPM practices. It highlights the innovative use of conversational AI to complement and enhance existing process mining methodologies. The study underscores the need for further research to validate these findings and explore advanced AI technologies for process optimization.