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Production-grade AI agents for financial compliance: Lessons from Stripe | Amazon Web Services

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This post is co-written by Christopher Phillippi and Chrissie Cui from Stripe.

Stripe processes $1.4 trillion in annual payment volume across 50 countries, requiring compliance teams to review thousands of transactions daily. This post explores how Stripe built a production-grade AI agent system on AWS using Amazon Bedrock that reduced review handling time by 26 percent while maintaining human oversight. The post covers the technical architecture, infrastructure decisions, and lessons learned from deploying agentic AI that achieved over 96 percent helpfulness ratings, with human experts firmly in control of final decisions.

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...

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