arXiv cs.AI· Mingqin Yu, Fethi Rabhi, Liming Zhu, Qinghua Lu·· 3 天前AI 评分23
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
该论文提出一个技术中立的参考架构，用于将智能体 AI 集成到企业软件中，通过综合研究文献、行业架构指南和互操作规范，将架构能力归纳为十项职责，并定义边界不变量、类型化跨职责交互和可变点。作者以 ESG 投资组合分析与交易前合规智能体在既有面向服务的 ESG 指标计算与报告系统上实例化该架构，案例实现了十项职责中的七项，且一个独立发布的智能体架构无需新增职责即可映射到所提职责上。
正文 · 原文
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