让智能代理在流程中自主决策,同时受组织目标约束。
Agentic Business Process Management: A Research Manifesto
- 用流程框架约束代理的自主行为,实现可控的智能化。
- 提出四类核心能力:有边界自主、可解释、会对话、能自我优化。
- 适合关注AI与流程管理融合的研究者和企业数字化转型者。
本文提出一项关于智能业务流程管理(Agentic Business Process Management, APM)的概念宣言,旨在扩展传统业务流程管理(BPM),以治理组织内执行流程的自主代理。从管理视角看,APM标志着范式转变:由传统流程驱动转向以过程感知和代理导向为特征,软件与人类代理作为主要功能实体,在明确的流程框架内感知、推理并行动。这一视角将传统自动化导向的BPM转变为一种系统,其中自治在过程感知下被约束、对齐并得以实施。文中提出了实现APM系统所需的核心抽象与架构元素,并阐述了四类关键能力:框架内自主性、可解释性、对话式可操作性、自我修改能力。这些能力共同确保代理目标与组织目标一致,并使其在框架内主动推进目标。文章讨论了这些能力的实现程度,指出了需在BPM、人工智能与多智能体系统领域进一步突破的研究挑战。该宣言旨在连接相关学术群体,为实践中的APM系统发展提供路线图。
原文摘要 · Abstract (English)
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 process view of the business process, driven by the realization of process awareness and an agent-oriented abstraction, where software and human agents act as primary functional entities that perceive, reason, and act within explicit process frames. This perspective marks a shift from traditional, automation-oriented BPM toward systems in which autonomy is constrained, aligned, and made operational through process awareness. We introduce the core abstractions and architectural elements required to realize APM systems and elaborate on four key capabilities that such APM agents 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.
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