📄 中文摘要
自20世纪90年代初以来，业务流程管理（BPM）领域的发展一直伴随着自动化技术的迭代浪潮。早期的技术主要集中于自动化单个任务，例如通过机器人流程自动化（RPA）实现重复性操作的自动化，或通过工作流管理系统协调特定业务环节。随后，BPM的重点逐渐转向端到端流程的编排和优化，旨在实现更高效、更灵活的业务运营。这些技术进步极大地提升了企业的运营效率和响应速度，但也往往需要预先定义清晰的规则和流程路径。然而，当前生成式人工智能（Generative AI）和Agentic人工智能（Agentic AI）的崛起，正在开启BPM领域的又一轮变革浪潮。与以往主要依赖预设规则和显式编程的自动化技术不同，Agentic AI具有更强的自主性、适应性和决策能力。它能够理解复杂的业务语境，动态地规划和执行任务，甚至在没有明确指令的情况下，自主学习和优化流程。这意味着未来的BPM系统将不再仅仅是按照既定流程执行任务的工具，而将演变为能够感知环境、分析数据、自主决策并采取行动的智能代理网络。这种新型的BPM系统，即Agentic业务流程管理系统，有望彻底改变企业管理业务流程的方式，使其变得更加智能化、自适应和高效。它将使企业能够应对不断变化的市场需求，实现真正的敏捷运营，并解锁前所未有的创新潜力。与传统自动化不同，Agentic BPM将更多地关注流程的“智能代理”化，即赋予流程中的各个环节以AI代理的能力，使其能够自主完成任务、协同工作，甚至在面临异常情况时进行自我修复和调整。这种转变不仅涉及技术的革新，更将对企业的组织结构、工作方式以及价值创造模式产生深远影响。
📄 English Summary
Agentic Business Process Management Systems
Since the early 1990s, the evolution of the Business Process Management (BPM) discipline has been marked by successive waves of automation technologies. Initial advancements primarily focused on automating individual tasks, such as robotic process automation (RPA) for repetitive operations or workflow management systems for coordinating specific business segments. Subsequently, the emphasis of BPM shifted towards the orchestration and optimization of end-to-end processes, aiming for more efficient and flexible business operations. These technological advancements significantly improved enterprise operational efficiency and responsiveness, though often requiring predefined rules and explicit process paths. However, the emergence of Generative Artificial Intelligence (Generative AI) and Agentic Artificial Intelligence (Agentic AI) is now ushering in another transformative wave in the BPM domain. Unlike previous automation technologies that largely relied on preset rules and explicit programming, Agentic AI possesses enhanced autonomy, adaptability, and decision-making capabilities. It can comprehend complex business contexts, dynamically plan and execute tasks, and even learn and optimize processes autonomously without explicit instructions. This implies that future BPM systems will no longer merely be tools executing tasks according to established procedures, but will evolve into intelligent agent networks capable of perceiving environments, analyzing data, making autonomous decisions, and taking actions. This new type of BPM system, termed Agentic Business Process Management Systems, is poised to fundamentally alter how enterprises manage their business processes, making them significantly more intelligent, adaptive, and efficient. It will enable organizations to respond to constantly changing market demands, achieve true agile operations, and unlock unprecedented innovation potential. Unlike traditional automation, Agentic BPM will increasingly focus on the 'agentification' of processes, empowering various stages within a process with AI agent capabilities, allowing them to autonomously complete tasks, collaborate, and even self-correct and adapt in the face of anomalies. This shift not only involves technological innovation but will also profoundly impact organizational structures, working methodologies, and value creation paradigms within enterprises.