Multi-Agent AI Systems: Architecture Patterns for Enterprise Deployment

Last quarter, a mid-sized insurance company struggled to deploy an AI agent that collapsed in production due to cognitive overload. Enterprises are facing similar challenges when building single-agent AI systems and are moving towards multi-agent architectures to distribute responsibilities effectively. This article explores the four primary architecture patterns for multi-agent AI systems and the considerations needed to make these systems production-ready, highlighting the limits of single-agent AI systems.