From AI Hype to Workflow Reality: A Strategic Framework for Integrating Generative AI Across Organizational Functions
针对74%企业无法从AI投资中获利的困境，提出一个四阶段框架（探索、编码、整合、提升），通过将提示工程作为核心能力嵌入工作流，帮助管理者避免试点、政策和技能三大陷阱，实现AI从实验到系统化落地的转型。
Despite unprecedented AI investment, 74% of companies struggle to achieve value from AI initiatives. This disconnect stems not from technological limitations but from the absence of strategic frameworks that embed AI into workflow processes. This article presents a four-phase framework for integrating generative AI across organizational functions: Explore, Codify, Integrate, and Elevate. Unlike traditional technology adoption models, this framework emphasizes prompt strategy and workflow integration as primary transformation drivers. Through functional analysis of marketing, human resources, and operations, we demonstrate how organizations can move from scattered experimentation to systematic integration by treating prompt engineering as a core organizational capability. The framework addresses three critical adoption traps: the Pilot Trap, Policy Trap, and Skill Trap. By providing concrete examples and implementation roadmaps, this article offers practitioners a pathway to transform AI from technological curiosity into a competitive advantage embedded in daily workflows.