Agentic AI opens new opportunities for automating Business Process (BP), enabling autonomous decision-making and dynamic adaptation. However, realising this potential requires BP entities and their interactions to be defined with formal precision. This paper presents a formal framework for Agentic BP analysis through the AGO methodology. AGO captures the modelling perspective in terms of who is acting (Agents), why it is carried out (Goals), and what the relevant entities are (Objects). Grounded in set theory and mathematical logic, we formally define the AGO entity types and their interactions, organising all definitions into a BP Knowledge Base (BPKB). The resulting BPKB supports structured querying, incremental updates, and automatic generation of BP workflows, while ensuring soundness and completeness of the derived paths.

翻译：智能体人工智能为业务流程自动化开辟了新机遇，可实现自主决策和动态适应。然而，要发挥这一潜力，需要以形式化精度定义业务流程实体及其交互。本文通过AGO方法论提出了一个用于智能体业务流程分析的形式化框架。AGO从"谁在行动（智能体）、为何执行（目标）、相关实体是什么（对象）"三个维度捕获建模视角。基于集合论和数理逻辑，我们形式化定义了AGO实体类型及其交互，将所有定义组织成业务流程知识库。由此产生的BPKB支持结构化查询、增量更新和业务流程工作流的自动生成，同时确保推导路径的可靠性与完备性。