Event-driven orchestration architectures for multi-agent systems help US enterprises coordinate AI agents, automate workflows, manage state, and improve reliability.
Key takeaways Key takeaway Details Primary challenge Slow decisions in multi-agent systems reduce operational efficiency and limit AI value in time-sensitive workflows. Main causes Model inference, data retrieval, network latency, agent coordination, orchestration overhead, and governance checks. Recommended approach Improve orchestration, infrastructure, model selection, data access, and governance together instead of optimizing individual components. Business […]