The 46 full papers included in the proceedings were carefully reviewed and selected from 331 submissions. The papers were organized in topical sections as follows: 

Part I: Enterprise Intelligence, Complexity, and Decision Support; Forecasting, Drift, and Prescriptive Process Analytics; Conceptual Modeling, Ontologies, and Value; Enriching Process Mining with Context and Sustainability; Human-in-the-Loop Engineering and Development Practices; Process Discovery and Analysis; Engineering AI Systems across Cloud, Edge, and Cyber-Physical Environments; 

Part II: LLM-Driven Modeling and Human-AI Collaboration; Agent-Based and Multi-Stakeholder Process Interaction; LLMs and AI for Process Understanding; Predictive and Neuro-Symbolic Process Analytics; Responsible, Fair, and Human-Centered AI; Object-Centric Process Mining and Conformance; Process Mining Data Quality and Repair.