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Agentic AI: Reducing decision latency with system-level optimization

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 […]