Stripe分享了他们怎么用AI代理处理金融合规的真实案例，包括ReAct框架和提示缓存省钱技巧，适合做合规系统的人参考。
Stripe采用ReAct代理框架构建金融合规系统，通过任务分解将复杂流程拆解为92个原子步骤。系统使用提示缓存技术将推理成本降低40%，同时保持人工监督机制确保审计可追溯性。该设计在Stripe的支付处理场景中覆盖了98%的合规审核任务，漏报率低于0.5%。
Production-grade AI agents for financial compliance: Lessons from Stripe
In this post, you learn how Stripe built a production-grade AI agent system for financial compliance. We cover the technical architecture of Stripe’s ReAct agent framework and the infrastructure decisions behind a dedicated agent service. We also discuss the role of human oversight in maintaining accountability, and key lessons about task decomposition, orchestration patterns, and cost optimization through prompt caching. By the end, you will understand how to design agentic systems that scale compliance operations without compromising quality or auditability.