Process mining for automated process discovery has certain limitations. It relies on recorded events, potentially missing unstructured or dynamic processes. Data quality is paramount, as inaccurate logs lead to flawed insights. Complex parallel activities and human-centric decisions can pose challenges. Tool configuration is crucial, and privacy concerns may arise. Process mining complements human expertise, but understanding its applicability to specific processes is vital for accurate insights and improved efficiency.