arXiv cs.AI· Shahir Daya, Rob Dunlap, Alexandre Boulenger, Ahmed Abdelmoneim, Salvatore Vella·· 3 小时前AI 评分38
Zafin AIOS 案例研究：在受监管金融行业中落地受治理的 Agentic 工作流
Operationalizing Governed Agentic Workflows in Regulated Finance: A Customer Zero Case Study using Zafin AIOS
AI 导读
Zafin 发表 arXiv 论文，介绍其面向金融等受监管行业的端到端编排平台与控制平面 Zafin AIOS，并以内部“Customer Zero”工作流做实证案例研究。在定价执行平台上实现完全可观测并将工作量降低 38%，在客户交易谈判平台上将报告工作量降低 76%，同时保持数据隐私、基于角色的访问和审计护栏。结果表明严格治理的智能体编排可在不牺牲控制的前提下提升企业产能。
正文 · 原文
Abstract:Regulated industries such as finance and healthcare face critical governance challenges that hamper the adoption of AI-assisted software development and hinder the transition from experimental pilots to production work. This paper presents Zafin AIOS, an end-to-end orchestration platform and control plane designed to deploy AI within regulated industries such as finance. We provide the architectural principles and an empirical comparison between AI-assisted and human-led workloads. To validate this framework empirically, we conduct a case study analysis of Zafin's internal enterprise workflows, which we refer to as Customer Zero. This paper contributes a production case study of AI-assisted software engineering in regulated industries. We evaluate the results of using Zafin AIOS with two different production codebases, one for the pricing execution platform and the other for the client deal negotiation platform. Our contribution is a customer case study for regulated industries with production codebases and governance, which includes proof of work. The results demonstrate that strictly governed agentic orchestration increases enterprise capacity without compromising control. In the pricing execution platform workflows, the platform provided complete observability and reduced effort by 38\%. In the client deal negotiation platform, it reduced reporting work by 76\% while maintaining all predefined data privacy, role-based access, and audit guardrails. This paper bridges the gap between AI-assisted software engineering theory and the operational reality of compliance. Closing this gap is important to help enterprises take advantage of AI technologies. These results are descriptive of the benefits of using governed workflows in regulated industries.
| Comments: | 19 pages |
| Subjects: | Software Engineering (cs.SE); Artificial Intelligence (cs.AI) |
| Cite as: | arXiv:2610.33253 [cs.SE] |
| (or arXiv:2610.33253v1 [cs.SE] for this version) | |
| https://doi.org/10.48550/arXiv.2610.33253 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Salvatore Vella [view email]
[v1]
Fri, 23 Oct 2026 19:55:22 UTC (6,898 KB)
来源：arXiv cs.AI · arxiv.org