企业AI部署团队终于有了数据支撑来决策协调策略——动态路由比固定策略更可靠，做多智能体系统架构的开发者可以直接参考论文中的实验框架。
该论文研究了企业多智能体系统中协调策略的动态选择问题，比较了共识、辩论、合成和单智能体工作流四种模式。研究团队在30个企业任务上进行了1440次实验，覆盖六个行业、五种问题类别和四种模型。主要发现是，虽然无法精确预测最优策略，但动态路由策略在所有模型和问题类别中都能达到接近最优的效果（质量分数差距不超过0.10）。研究建议企业采用动态路由作为校准默认策略，而非固定全局策略。
Dynamic Coordination Strategy Selection for Enterprise Multi-Agent Systems
Enterprise multi-agent systems increasingly expose multiple coordination patterns, but deployments often lack evidence for when to use consensus, debate, synthesis, or a simpler single-agent workflow. This paper evaluates whether coordination strategy should be selected dynamically by problem class rather than fixed globally. We run a frozen matrix of 30 enterprise tasks spanning six industries, five problem classes, four execution conditions, three replications per cell, and four model arms: qwen_local, sonnet, gemma_openrouter, and an auxiliary openai cloud-validation arm. All 1,440 generated outputs are judged by a fixed Sonnet rubric. The main finding is bounded and operationally useful, but it is not the original strict H1. The pre-registered exact-winner/CI criterion is not supported: exact winner identity is unstable across model arms, and several predicted strategies are close to, but not above, the best observed alternative. A weaker near-best routing claim is strongly supported. In every pre-registered model arm and problem class, and again in the auxiliary OpenAI validation arm, the predicted strategy is within 0.10 quality-score points of the best observed condition. Structured compliance verification is the clearest exception to the original mapping: all arms favor single_agent rather than consensus. A pre-registered Kendall's W test finds no reliable difference between Vietnamese-domain and English-domain tasks in how consistently the four coordination conditions are ranked (mean W of 0.20 in both strata; signed-rank p = .85), so H2 is not supported. We conclude that enterprise coordination policy should use dynamic routing as a calibrated default, not as a deterministic winner-selection law.