AI-augmented Business Process Management Systems: A Research Manifesto

Marlon Dumas, Fabiana Fournier, Lior Limonad, Andrea Marrella, Marco Montali, Jana Rebecca Rehse, Rafael Accorsi, Diego Calvanese, Giuseppe De Giacomo, Dirk Fahland, Avigdor Gal, Marcello La Rosa, Hagen Völzer, Ingo Weber

Research output: Contribution to journalArticlepeer-review

25 Scopus citations

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.

Original languageEnglish
Article number11
JournalACM Transactions on Management Information Systems
Volume14
Issue number1
DOIs
StatePublished - 31 Jan 2023
Externally publishedYes

Keywords

  • Business process management
  • augmented business process
  • business automation
  • explainability
  • trustworthy AI

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