AI-Augmented Business Process Management Systems: A Research Manifesto
Marlon Dumas
Fabiana Fournier
Lior Limonad
Andrea Marrella
Marco Montali
Jana-Rebecca Rehse
R. Accorsi
Diego Calvanese
G. D. Giacomo
Dirk Fahland
A. Gal
M. Rosa
Hagen Volzer
Ingo Weber

Abstract
AI-Augmented Business Process Management Systems (ABPMSs) are an emerging class of process-aware information systems, empowered by trustworthy AI technology. An ABPMS enhances the execution of business processes with the aim of making these processes more adaptable, proactive, explainable, and context-sensitive. This manifesto presents a vision for ABPMSs and discusses research challenges that need to be surmounted to realize this vision. To this end, we define the concept of ABPMS, we outline the lifecycle of processes within an ABPMS, we discuss core characteristics of an ABPMS, and we derive a set of challenges to realize systems with these characteristics.
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