Artificial intelligence (AI) continues to transform organizational operations by introducing advanced methods that enhance efficiency and productivity. However, many organizations struggle with critical decisions about when to adopt such technologies and how to integrate them effectively into their existing IT infrastructures. To address this gap, the current study conducted a multicase study and collected data through 15 semi-structured interviews. By applying Gioia's method, it identifies the motivations, triggers, and decision-making considerations that influence the adoption of AI within organizations. This work proposed a process model that reveals AI adoption is not driven by a single factor but emerges from a complex interplay of motivations, triggers, and evaluative logic that collectively shape an organization’s decision for its adoption.