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We have been comparing single-agent workflows with coordinated multi-agent systems for business automation.

For many processes, one agent with a controlled toolset and explicit workflow states is easier to test and operate. Multiple agents become useful when responsibilities, context boundaries or approval paths are genuinely different, not simply because the architecture looks more advanced.

Our focus is AI agent development for real products. Where have multi-agent patterns produced a measurable advantage for your team?