9TH WORKSHOP ON ARTIFICIAL INTELLIGENCE FOR BUSINESS PROCESS MANAGEMENT

http://ai4bpm.inf.unibz.it

in conjunction with the 23rd Business Process Management Conference (BPM 2025)
31 August - 5 September, 2025, Seville, Spain

The field of Artificial Intelligence continues to grow, with new and deeper techniques, and with application across numerous areas. In the past few years we have seen strong interest from both industry and academia in applying AI techniques in the area of Business Process Management. Indeed, the application of AI is impacting additional areas where process management perspectives and techniques are relevant, including industrial engineering, IoT, and emergency response, to name a few. The use of AI in BPM has been discussed as the next disruptive technology that will touch almost all of the business process activities being performed by humans. In some cases AI will dramatically simplify human interaction with a process, in other cases it will extensively support humans in the execution of tasks, and in yet other cases it will enable full automation of tasks that have traditionally required manual contributions. Over time AI may lead to entirely new paradigms for business processes and operations. For example, instead of BPM models centered on process or on case management, we anticipate models that are based fundamentally on goal achievement, as well as we anticipate models that fully enable continuous improvement and adaptation based on experiential learning.

The goal of this workshop is to provide a forum for researchers and professionals to explore, discuss, and envision the challenges and opportunities of transitioning from current programmatic approaches in BPM to emerging AI-enabled paradigms. The workshop will feature a panel discussion addressing recent challenges and intersections between AI and BPM.

This workshop invites papers describing original research and industrial experiences that explore how AI can be applied in BPM contexts by adopting a broad perspective on both AI and BPM. Submissions are welcome on topics ranging from enhancements to traditional BPM approaches to transformative innovations in business operations. While the workshop primarily seeks contributions on foundational and engineering aspects of BPM, it is open to the full spectrum of the BPM field. This may include (but is not limited to) the following topics:

== TOPICS OF INTEREST ==

The workshop welcomes submissions related to applications of AI for BPM, ranging from improvements on traditional approaches to BPM, to fundamental transformations in how business operates. This may include (but is not limited to) the following topics:

- Machine Learning, including Deep Learning, to support workflow management
- Process Mining augmented with AI techniques
- Natural Language Processing in Business Process Management
- Recommender systems for business processes
- Constraint-based reasoning
- Automation of exception handling
- Cognitive approaches to Business Process Management
- Agent-Based Modeling and Simulation for BPM
- Virtual assistants to simplify interaction with processes
- Goal-driven approaches to process management
- Knowledge representation, management and reasoning on process specifications
- Ontology-driven BPM
- AI technology for BPM-related standards such as BPMN, CMMN and DMN
- Application of AI to (Data-Driven) BPM
- AI-based robotic process automation
- AI-driven modelling and optimization of business processes
- AI enablement for declarative and hybrid models
- AI-based enrichment of IoT-enabled processes
- Applications of automated planning techniques for BPM
- Applications of AI for Blockchain-hosted processes
- Applications of AI in industry-specific business processes (retail, e-commerce, finance, manufacturing, healthcare)
- Non-traditional models and approaches to BPM that leverage AI
- Social, economic, and business impacts of infusing AI into BPM

Since the research area of AI for BPM is in its infancy, we especially encourage submissions that explore totally new directions, which step outside of the areas listed above.

== SUBMISSIONS ==

Accepted submissions:
- Research papers, up to 12 pages, describing original and novel research work, including research results and evaluations. Research papers should not have been published or submitted for publication elsewhere.
- Experience papers, up to 12 pages, describing experiences with the novel application of AI techniques to BPM. Such papers should include clear descriptions of the motivations underlying the use of AI for BPM, the value obtained through the use of AI, and the challenges that needed to be overcome. Experience papers should not have been published or submitted for publication concurrently elsewhere.

Papers should be written in English, following the Springer LNCS format and will be published as Springer LNBIP post-proceedings. All submissions will be reviewed by at least three members of the AI4BPM International Program Committee. The submission process will be managed using the Easychair conference management system. According to Springer's policy, the acceptance rate will be lower than or at most equal to 50%. For inclusion in the workshop proceedings, at least one author per accepted paper must register and participate in the workshop. Depending on the quality of the submissions, we also consider publishing long versions of the papers in a journal Special Issue.

== IMPORTANT DATES ==

- Abstract submission deadline: May 30, 2025
- Paper submission deadline: June 6, 2025
- Paper notification deadline: July 3, 2025
- Camera-ready deadline: July 12, 2025
- Workshop date: September 1, 2025


== ORGANIZERS ==

Chiara Di Francescomarino, University of Trento, Italy
Fabrizio Maria Maggi, Free University of Bozen-Bolzano, Italy
Andrea Marrella, Sapienza University of Rome, Italy
Arik Senderovich, York University, Canada
Emilio Sulis, University of Turin, Italy

== PROGRAM COMMITTEE ==

Anti Alman, University of Tartu, Estonia
Patrizio Bellan, FBK, Italy
Andrei Buliga, FBK, Italy
Marco Comuzzi, Ulsan National Institute of Science and Technology, Republic of Korea
Francesco Corcoglioniti, Free University of Bozen-Bolzano, Italy
Claudio Di Ciccio, Sapienza University of Rome, Italy
Sebastiano Dissegna, University of Trento, Italy
Ivan Donadello, Free University of Bozen-Bolzano
Joerg Evermann, Memorial University of Newfoundland, Canada
Stephan Fahrenkrog-Petersen, Humboldt University of Berlin, Germany
Peter Fettke, DFKI, Germany
Fabiana Fournier, IBM Research AI, Israel
Krzysztof Kluza, AGH University of Science and Technology, Poland
Henrik Leopold, Kühne Logistics University, Germany
Francesco Leotta, Sapienza University of Rome, Italy
Lior Limonad, IBM Research AI, Israel
Elisa Marengo, University of Turin, Italy
Francesca Meneghello, FBK and Sapienza University, Italy
Roberto Nai, University of Turin, Italy
Massimiliano Ronzani, Fondazione Bruno Kessler, Italy
Giulia Ruffini, University of Turin, Italy
Stefano Tedeschi, Università della Valle d'Aosta, Italy
Daniele Theseider Dupre', University of Eastern Piedmont, Italy
Matteo Zavatteri, University of Padua, Italy

== MORE INFORMATION ==

Visit the workshop website http://ai4bpm.inf.unibz.it/ for detailed submission information.