BPM 2025📅 Tuesday, Wednesday & Thursday, Sept 2nd–4rd, 2025
📍 "Nervión" Hall, "Magnolia" Hall and "Giralda" Hall
Panel: Quo Vadis, BPM Conference? - Thursday, Sept 4th, 2025 (16:30 - 17:30) - Giralda Hall
Jan Mendling, Irene Vanderfeesten, Adela del Río, Hajo Reijers
This year’s panel aims to be a "Town Hall" meeting of the BPM community to understand how the conference can be improved in the future. We will first seek input from the conference audience to prioritise the aspects of the conference that could be improved and should therefore be discussed. Then, the panel will feature members of the BPM steering committee and a selection of this year's PC and organization chairs who will be asked to reflect on the current status of the conference and challenged to identify concrete directions for improvement on the aspects identified as priorities by the audience
Tutorial 1: AI-Assisted Business Process Monitoring - Tuesday, Sept 2nd, 2025 (16:30 - 18:00) - Nervion Hall
Andreas Metzger
Business process monitoring involves tracking and analyzing operational business processes to gain insights into their performance, identify bottlenecks, and facilitate that they are running efficiently. This tutorial introduces the participants into how modern AI methods can be employed to realize predictive as well as prescriptive business processes monitoring. Where predictive monitoring helps to answer “what will happen and when?”, prescriptive monitoring allows answering “when to intervene and how?” Together, these monitoring approaches assist process managers and operators in deciding on when and how to intervene during an ongoing business process in order to prevent or mitigate the occurrence of an undesired process outcome. The tutorial introduces the participants to advanced deep learning methods for business process monitoring: deep supervised learning for predictive monitoring, and deep reinforcement learning for prescriptive monitoring. The tutorial positions these deep learning methods within the overall framework of business process monitoring systems and explains how deep learning helps to address key challenges. It presents empirical results on the effectiveness and cost savings of these deep learning methods, which are distilled into a set of recommendations for selecting appropriate deep learning methods in practice. Finally, the tutorial provides an outlook on future directions in AI-assisted business process monitoring, particularly elaborating the opportunities introduced by large language models (LLMs) and the need for explainable AI (XAI).
Tutorial 2: Constraint-based reasoning and analysis for BPM: CSP to the rescue - Wednesday, Sept 3rd, 2025 (14:30 - 16:00) - Magnolia Hall
Alessandro Gianola, Andrey Rivkin and Mateusz Slazynski
Formal methods have always been an integral part of the BPM lifecycle. They are mathematically grounded techniques used to specify and analyze complex systems with a high degree of precision. In BPM, they help ensure that processes are correctly specified and capable of achieving the intended outcomes, by detecting design flaws and verifying compliance with defined goals. Among these techniques, the Constraint Satisfaction Problem (CSP) stands out as a powerful approach to specifying and solving problems with clearly defined constraints. CSP techniques are known for their high performance, yet a major barrier to broader use lies in the difficulty of defining suitable encodings, which require expert knowledge. Nevertheless, modern tools have made substantial progress in improving CSP accessibility for non-experts. In this tutorial, we define CSP, motivate its use in BPM, and showcase how two CSP instances, one over Boolean and the other over structured domains, can be used to solve BPM analysis problems via suitable encodings. Such encodings will be demonstrated during hands-on sessions with the help of state-of-the-art CSP tools. As a key learning outcome, participants will gain a deeper understanding of CSP-based formal methods and their integration into process analysis.
Tutorial 3: Business Process Optimization - Thursday, Sept 4th, 2025 (14:30 - 16:00) - Magnolia Hall
Remco Dijkman and Arik Senderovich
Business Process Optimization (BPO) concerns making optimal operational decisions during process redesign or process execution—such as task assignment, resource allocation, resource staffing, and case advancement (e.g., admitting a patient). These decisions must balance objectives like cost, time, and satisfaction while respecting constraints like availability, deadlines, and budgets often under uncertaitny. Though related to Prescriptive Process Monitoring (PrPM), BPO addresses constrained combinatorial problems that often exceed real-time capabilities. This tutorial introduces key BPO problem types and solution approaches, illustrating specific problem-solution pairs that were already explored. While not exhaustive, the classification aims to provide a structured overview and spark future research in this emerging area.
Celonis Tutorial (sponsored): Unlocking End-to-End Process Transparency with Celonis Process Intelligence - Wednesday, Sept 3th, 2025 (16:30 - 18:00) - Nervión Hall
Adrian Joas
This tutorial introduces BPM academics and industry professionals to Celonis’ powerful Process Intelligence platform. Participants will move beyond traditional process mining to see how an object-centric approach creates a real-time, living blueprint of how processes truly run across complex systems and organizational silos. Through a hands-on journey, attendees will learn to ingest event data, build an object-centric data model that unveils hidden interdependencies, and visualize process realities using the Process Intelligence Graph. We will explore how this method uncovers bottlenecks and deviations invisible to conventional BPM tools. The session will also demonstrate how to leverage AI for enhanced usability and to drive intelligent, agent-based decision-making. The tutorial culminates in a practical exercise where participants will use Celonis Studio to build their own insightful, object-centric dashboards, translating complex data into actionable process improvements. This session is ideal for those with a basic understanding of business process management and data analysis concepts who wish to explore the next generation of process mining technology.