As an emerging intelligent technology characterized by its general applicability， the organizational contextual adoption and effective harnessing of AI have become critical issues demanding urgent attention from both theoretical and practical domains. It selected JiaShu Industrial Internet Co.， Ltd. as the research subject and employed a longitudinal single-case study methodology to dissect the typical practices of successfully introducing and applying AI technology within the organization， aiming to explore the processes and mechanisms underlying AI’s contextual adoption in organizational settings. The findings reveal that， driven by an AI-oriented organizational culture and cognitive transformation， the process of AI’s contextual adoption comprises two key stages： contextual introduction and contextual application of AI technology. During the contextual introduction phase， the enterprise achieves alignment between AI technologies and specific organizational tasks through AI knowledge remediation and iterative construction of context-specific AI solutions. In the contextual application phase， the company leverages AI for data capture and integration， empowering business and management activities via two main approaches—data insight and visualization， as well as human-computer interaction and application—thus fully unlocking AI’s potential for business substitution and cognitive augmentation. The contextual introduction and application of AI technology effectively enhance organizational learning and communication efficiency， management quality， and business growth， thereby facilitating the enterprise’s intelligent transformation objectives. It constructs a process model for the contextual adoption of AI technology within organizations， offering theoretical insights to inform intelligent transformation practices in traditional enterprises.