当"谁负责"没有被明确，一切讨论都只是声音的叠加，无法转化为行动。权责不清，不仅延误决策，更 持续消耗团队的能量与信任。 *快速破解僵局，恢复组织动能 *构建高效、赋能的责任机制 *在无共识中实现协调推进 如果你的团队也正被拖沓、争论和低效所困，这篇内容将为你指出唯一的出路：停止纠结细节，先厘清 谁负责。 为什么明确负责人能让事情更快推进 在团队合作中，我们常常陷入一种熟悉却低效的循环：围绕做什么、怎么做、何时做展开激烈辩论，却 始终毫无进展。为什么？因为在所有战术细节之前，我们遗漏了最关键的问题： 到底谁来决定？ 本篇文章提出一个简单却颠覆性的原则："先谁，后什么"。它将帮助你： 在随后的辅导过程中，我们建议该团队在类似议题出现时，优先明确谁是责任人。不久后，团队再次面 对类似的决策场景，改变了做法。他们在一开始就指定了具体的责任负责人，并赋予其必要的决策权。 结果令人欣喜：团队成员不再围绕细节争论，而是开始提供支持性意见，比如提醒相关部门需要协同、 指出潜在影响因素，或主动表达愿意配合执行。这一转变，使得原本散乱的能量迅速收拢为行动力。 更重要的是，责任人也不必"独断专行"。他们会整合团队建议，做出判断； ...

Core Insights - The article emphasizes the need for companies to rethink their organizational structures in the age of AI, focusing on how to effectively integrate AI into teams rather than fearing its potential to replace human roles [1][3][15] - It introduces the concept of Strategic Execution Teams (SET) as a new organizational model that enhances agility and clarity in decision-making while leveraging AI capabilities [4][5][6] Organizational Structure Challenges - Traditional organizational structures, which are functionally divided, are ill-suited for the complexities introduced by AI, leading to increased chaos and inefficiency during critical moments [3][12] - The need for a new structure arises from the fact that AI can automate tasks and facilitate decision-making, but existing frameworks hinder effective collaboration between humans and AI [3][4] Strategic Execution Teams (SET) - SET is described as a cross-functional decision-making hub that possesses the authority to drive key organizational objectives, ensuring agility and coordination in an AI-integrated environment [4][5] - The role of SET is to integrate AI into human systems, enhancing organizational value rather than increasing chaos [6][10] Implementation of SET - SET's core responsibilities include translating strategic goals into actionable cross-departmental priorities, monitoring internal "entropy signals," and adjusting strategies based on real-time data [9][20] - The article outlines a three-layer model where AI and humans collaborate effectively at different organizational levels, ensuring clarity in roles and responsibilities [11][8] Lifecycle Matching - The organization’s structure must align with its lifecycle stage to avoid chaos from rapid AI integration, with SET acting as a coordinator throughout the AI integration process [12][13] - Different stages of AI integration require distinct focuses, from monitoring complexity in trial phases to optimizing efficiency in mature phases [13][14] CEO's Role in AI Transformation - CEOs must focus on restructuring their organizations to facilitate human-AI collaboration rather than merely appointing AI officers or launching isolated projects [15][16] - Key actions for CEOs include redefining SET, clarifying AI's decision-making authority, actively monitoring organizational entropy, and ensuring the structure evolves with AI technology [16][20][21] Conclusion - The article concludes that while AI can amplify organizational energy, a well-structured system is essential to guide its application effectively, placing the responsibility on CEOs and their SETs to create a collaborative ecosystem [22]