arXiv：cs.AI· Mingqin Yu, Fethi Rabhi, Liming Zhu, Qinghua Lu·· 10 小时前
将智能体 AI 集成到企业软件的参考架构：职责、交互与可变性
A Reference Architecture for Integrating Agentic AI into Enterprise Software: Responsibilities, Interactions, and Variability
AI 导读
一篇 arXiv 论文提出面向企业智能体 AI 集成的技术中立参考架构，将架构能力归纳为十项职责，并定义边界不变量、跨职责类型化交互和可变点。作者以现有服务化 ESG 指标计算与报告系统为基础，实例化出一个 ESG 投资组合分析与交易前合规智能体，实现十项职责中的七项。该案例表明不同问题走不同交互路径、控制仅在条件下激活，且独立发布的智能体架构可映射到所提职责而无需新增职责。
正文
Abstract:Agentic AI moves generative AI applications toward systems that coordinate reasoning, enterprise context, model inference, and external actions. Integrating these capabilities into enterprise software introduces diverse architectural concerns, from orchestration, knowledge and memory, and model access to tools and actions, security, runtime infrastructure, and evaluation. Existing research and industry architectures address many of these concerns but differ in scope, abstraction, responsibility organization, interaction representation, and assumptions about which capabilities are required. This paper presents a technology-neutral reference architecture for enterprise agentic AI integration. We synthesize architectural capabilities from research publications, industry architecture guidance, and interoperability specifications by architectural purpose, organize them into ten responsibilities, and define boundary invariants, typed cross-responsibility interactions, and variation points that distinguish responsibilities from condition-dependent capabilities and replaceable realization mechanisms. We instantiate the architecture as an ESG portfolio-analysis and pre-trade compliance agent over an existing service-oriented ESG metric computation and reporting system, and complement the case with a mapping of an independently published agentic architecture. The case realizes seven of the ten responsibilities; different questions take different interaction paths, controls activate only under their conditions, and the probed boundary invariants hold. The independent architecture maps onto the proposed responsibilities without requiring an additional one. These results provide initial evidence for the architecture's organization and applicability rather than its completeness. The deployment and recorded results are available as a replication package.
| Subjects: | Artificial Intelligence (cs.AI) |
| Cite as: | arXiv:2610.14818 [cs.AI] |
| (or arXiv:2610.14818v1 [cs.AI] for this version) | |
| https://doi.org/10.48550/arXiv.2610.14818 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Mingqin Yu [view email]
[v1]
Sat, 10 Oct 2026 11:29:28 UTC (330 KB)
来源：arXiv：cs.AI · arxiv.org