一种将遗留工作流提升为智能体BPM的过程驾驭框架：在CUGA FLO中的设计与实现
A Process Harness for Uplifting Legacy Workflows to Agentic BPM: Design and Realization in CUGA FLO
AI总结：
提出过程驾驭框架，通过策略驱动的智能体层在不替换工作流引擎的情况下将遗留工作流升级为智能体BPM，并基于TDF模型在CUGA FLO中实现，通过三种智能体类型和钩子机制实现指令性与规范性需求的统一。
摘要：
我们引入了过程驾驭框架，这是一种在不替换底层工作流引擎的情况下将遗留工作流提升为智能体业务流程管理（Agentic BPM）的新机制。过程驾驭框架在确定性工作流引擎周围放置一个策略治理的智能体层，拦截指定的控制点以贡献推理、适应和监控，而引擎保留对过程的结构性权威。为了严格定义过程驾驭框架，我们开发了任务-决策-流（TDF）模型，指定了其数据模式和执行语义。TDF将LLM推理分解为三种策略治理的智能体类型：TaskAgent用于知识密集型任务执行，DecisionAgent用于逐案例网关路由，以及FlowAgent通过原则性的钩子机制管理运行时流程适应。每个智能体在从过程FRAME（系统中所有LLM调用的聚合策略集）中提取的显式策略内进行推理。然后，我们展示了CUGA FLO作为TDF模型的设计与实现，并在一个贷款审批工作流上进行了演示，该工作流使用了所有三种智能体类型和钩子驱动的监管覆盖。过程驾驭框架独特地调和了指令性需求（通过确定性工作流执行实现结构性合规）与规范性需求（通过策略框架的智能体自主性在流程需要的指定控制点调用实现）。
英文摘要：
We introduce the process harness, a new mechanism for uplifting legacy workflows into Agentic Business Process Management (Agentic BPM) without replacing the underlying workflow engine. A process harness places a policy-governed agentic layer around a deterministic workflow engine, intercepting designated control points to contribute reasoning, adaptation, and oversight while the engine retains structural authority over the process. To define the process harness rigorously, we develop the Task-Decision-Flow (TDF) model, specifying both its data schema and its execution semantics. TDF decomposes LLM reasoning across three policy-governed agent types: a TaskAgent for knowledge-intensive task execution, a DecisionAgent for per-case gateway routing, and a FlowAgent that governs runtime flow adaptation through a principled hook mechanism. Each agent reasons within an explicit policy drawn from the process FRAME, the aggregate policy set governing all LLM calls in the system. We then present CUGA FLO as the design and implementation realization of the TDF model, and demonstrate it on a loan approval workflow that exercises all three agent types and hook-driven regulatory override. The process harness uniquely reconciles imperative requirements, realized through deterministic workflow execution that enforces structural compliance, with normative requirements, realized through policy-framed agentic autonomy invoked at designated control points wherever the process demands it.
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