The transformative force of artificial intelligence in the business landscape drives organizations through disruptive changes while offering huge potential. However, many organizations struggle to integrate AI effectively to enable a substantial impact, of ten due to the absence of a holistic integration and clearly defined AI strategy. Therefore, we applied an iterative taxonomy development process within the Design Science Research paradigm based on a systematic literature review, expert interviews with eleven organizations, and a real-life use case analysis within five industries. The taxonomy offers a comprehensive overview and classification for a strategic perspective and supports formulating an AI strategy by classifying the relevant aspects. We defined seven meta-dimensions: value activities, strategy and management, enablement, impact measurement and investment, technological infrastructure, people and competencies, and ethics and regulation. Further, it provides practitioners with a tool that serves as a starting point for promoting the integration of AI, supporting better AI adoption.