首先，通过提出“端到端范式”，并将其界定为一种由人工智能驱动的新型组织管理范式。该范式并非对现有组织理论的局部优化，而是对管理学基本假设与核心逻辑的体系性重组，旨在回应AI技术对传统分工范式构成的挑战，推动组织在主体构成、结构单元与运行机制上的深度重构。然后，通过理论建构，创新性地提出“智慧体”作为人机融合的新型工作主体的观点，主张以动态任务流替代静态岗位设置，从而实现组织单元的弹性配置与管理——业务活动的深度融合，并由此推导出6个核心理论命题。最后，通过引入酷开科技公司的实践案例，具体阐释了“端到端范式”在真实组织情境中的实施路径与落地成效。

This paper proposes the end-to-end paradigm as a new organizational management paradigm driven by artificial intelligence. It aims to address the challenges posed by current AI technologies to the traditional division-of-labor paradigm and promote a deep restructuring of the subjects, units, and operational mechanisms of organizations. Through theoretical construction, this paper introduces the hybrid agent as a new type of actor in the human-machine integrated model, replacing positions with tasks to enable dynamic adjustments of organizational units, and thereby drives the deep integration of management and business activities. Based on this, six core propositions are put forward. Furthermore, by incorporating the practical case of CooCaa Technology Co., Ltd, this paper elaborates on the implementation path and results of this paradigm in real organizational contexts. The findings demonstrate that the end-to-end paradigm is not a marginal improvement of existing organizational theories, but a systematic reconstruction of the fundamental assumptions and core logic of management science, providing a new theoretical perspective for understanding the evolution of organizational forms in the age of AI.