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Agentic Business Process Management: A research manifesto

  • Diego Calvanese
  • , Angelo Casciani
  • , Giuseppe De Giacomo
  • , Marlon Dumas
  • , Fabiana Fournier
  • , Timotheus Kampik
  • , Emanuele La Malfa
  • , Lior Limonad
  • , Andrea Marrella
  • , Andreas Metzger
  • , Marco Montali
  • , Daniel Amyot
  • , Peter Fettke
  • , Artem Polyvyanyy
  • , Stefanie Rinderle-Ma
  • , Sebastian Sardiña
  • , Niek Tax
  • , Barbara Weber
  • Free University of Bozen-Bolzano
  • Universita La Sapienza
  • University of Oxford
  • University of Tartu
  • IBM Research
  • Umeå University
  • SAP CEC Karlsruhe
  • University of Duisburg-Essen
  • University of Ottawa
  • DFKI
  • Saarland University
  • University of Melbourne
  • Epworth HealthCare, RMIT University
  • Meta
  • University of St. Gallen

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

This paper presents a manifesto that articulates the conceptual foundations of Agentic Business Process Management (APM), an extension of Business Process Management (BPM) for governing autonomous agents executing processes in organizations. From a management perspective, APM represents a paradigm shift from the traditional view on business processes. This shift is driven by the realization of process awareness by agent-oriented abstractions: software and human agents act as primary functional entities that perceive, reason, and act within explicit process frames. Thus, APM moves away from automation-oriented BPM towards systems in which autonomy is constrained, aligned, and made operational through process aware agents. We introduce the core abstractions and architectural elements required to realize APM systems and elaborate on four key capabilities that agents in APM systems must support: framed autonomy , explainability , conversational actionability , and self-modification . These capabilities jointly ensure that agents’ goals are aligned with organizational goals and that agents behave in a framed yet proactive manner in pursuing those goals. We discuss the extent to which the capabilities can be realized and identify research challenges whose resolution requires further advances in BPM, AI, and multi-agent systems. The manifesto thus serves as a roadmap for bridging these communities and for guiding the development of APM systems in practice.

Original languageEnglish
Article number102738
JournalInformation Systems
Volume140
DOIs
StatePublished - 1 Aug 2026

Keywords

  • Agentic AI
  • Autonomous agents
  • Business process management
  • Conversational actionability
  • Explainability
  • Framed autonomy
  • Self-modification

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