Core Insights - The article emphasizes that the challenges faced by companies in deploying AI projects stem not from the technology itself but from organizational issues [2][14] - It argues that to leverage AI effectively, organizations must transition from a human-centric structure to a collaborative system where humans manage AI [2][6] Organizational Structure - The introduction of AI agents changes the execution dynamics within businesses, necessitating a reevaluation of existing processes and roles [2][6] - Traditional workflows are designed around human limitations, which creates structural gaps when integrating AI [3][5] Role Redefinition - Employees' roles must evolve from task execution to overseeing and managing AI agents, focusing on correcting AI's misunderstandings and optimizing its performance [7][11] - Quality control shifts from checking human outputs to evaluating AI behavior and strategies, highlighting the importance of high-quality AI improvement suggestions [9][10] Management Logic - Supervisors' responsibilities transition from managing people to resource allocation, determining which tasks are suitable for AI and which require human intervention [10][11] - Knowledge managers become responsible for shaping AI capabilities, moving beyond mere maintenance of knowledge bases to structuring implicit experiences for AI learning [11] Cultural Adaptation - The article concludes that the true differentiator for companies is not the choice of AI technology but their readiness to integrate AI into their organizational framework [13][14] - Companies must foster a culture that continuously improves processes, roles, and governance around AI to unlock its full potential [14]
天润云（02167.HK）指出AI项目痛点：原来企业的流程才是最大拦路虎！