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This paper proposes a paradigm shift in Business Process Management (BPM) from modeling human workflows to governing autonomous AI agents through new concepts like "Process Constitution" and "Process Steward." The core contribution lies in redefining the value proposition of agentic organizations from mere efficiency to ensuring organizational legibility, accountability, and contestability. This research addresses critical governance challenges as AI ecosystems increasingly execute work with limited human direction.
Surse care acoperăarXiv, SiliconANGLE, The Verge, Fortune
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Process Constitutions and Process Stewards: Towards the Next Generation of BPM for Agentic Organizations

arXiv2 min de cititArticolul și perspectiva sunt în engleză.

arXiv:2610.05942v1 Announce Type: new Abstract: Business Process Management (BPM) was built on a foundational assumption that organizations are populated primarily by human actors whose work can be made visible, governable, and improvable through process models. That assumption is depreciating. AI agent ecosystems increasingly execute, coordinate, and adapt organizational work with limited human direction, challenging not only BPM's methods but its core conception of what a process is. We argue that BPM faces a constitutive shift from modeling human work to governing autonomous agents, for which we propose two new concepts: the \emph{Process Constitution}, a machine-interpretable, value-laden framework that defines the space of admissible agent behavior, and the \emph{Process Steward}, a governance agent that interprets and enforces it. The central value proposition of this new generation of BPM is not efficiency but \emph{organizational legibility}: the capacity to keep agentic organizations accountable, contestable, and humanly understandable. We outline what this means and sketch the research agenda it opens.

Abstract:Business Process Management (BPM) was built on a foundational assumption that organizations are populated primarily by human actors whose work can be made visible, governable, and improvable through process models. That assumption is depreciating. AI agent ecosystems increasingly execute, coordinate, and adapt organizational work with limited human direction, challenging not only BPM's methods but its core conception of what a process is. We argue that BPM faces a constitutive shift from modeling human work to governing autonomous agents, for which we propose two new concepts: the \emph{Process Constitution}, a machine-interpretable, value-laden framework that defines the space of admissible agent behavior, and the \emph{Process Steward}, a governance agent that interprets and enforces it. The central value proposition of this new generation of BPM is not efficiency but \emph{organizational legibility}: the capacity to keep agentic organizations accountable, contestable, and humanly understandable. We outline what this means and sketch the research agenda it opens.

Artificial Intelligence (cs.AI)

arXiv:2610.05942 [cs.AI]

(or arXiv:2610.05942v1 [cs.AI] for this version)

https://doi.org/10.48550/arXiv.2610.05942 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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