AGENT ARCHITECTUREENTERPRISE AI ARCHITECTURE

Multi-Agent Architecture

Multi-agent systems divide work across specialized agents coordinated by an orchestrator or peer protocol.

WHY IT MATTERS

They can improve specialization but multiply trust boundaries, latency and failure paths.

ENTERPRISE EXAMPLE

A planning agent delegates research and calculation to specialized agents while final action authority remains centralized.

ARCHITECTURE DECISION

What benefit justifies multiple agents instead of one workflow?

REMEMBERUse multiple agents when specialization is worth the extra coordination risk.
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