Amazon study finds a single AI agent is the best default for enterprise workflows

Amazon researchers found that multi-agent setups burned up to 4.7 times more tokens for modest and often statistically insignificant gains The enterprise AI world has spent a lot of energy building teams of AI agents that hand work to one another. A new Amazon study suggests most companies should start with one. Amazon researchers found that a single, well-built agent is usually the best default for enterprise workflows. The more complex setups consumed far more tokens and time, and in many cases delivered only small improvements in exchange. The paper is titled “Agent Architecture Cost–Success Trade-offs: A Controlled Evaluation across Enterprise-Style SOPs” and was posted to arXiv as arXiv:2611.12953 in early November 2026. SOPs, or standard operating procedures, are the step-by-step playbooks companies use for routine work.

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