This chapter shares insights from the EduAI project, a European Erasmus + funded initiative aimed at improving how AI tools are integrated into higher education, especially within social sciences. Using data from 295 higher education educators from diverse international backgrounds, mostly based in Europe, the study employs a descriptive quantitative approach. AI tools are first identified and categorized based on self-reported familiarity and their relevance to educational settings. The chapter then examines how these tools are practically used by analyzing their roles across key teaching activities. These applications are interpreted through the lens of the teaching cycle, emphasizing the instructional tasks that AI most frequently supports. Based on these results, a conceptual framework is proposed to align AI tools with specific functions throughout different teaching phases. This framework presents a structured, practical perspective to help educators choose and use AI in meaningful ways. The chapter contributes to a deeper understanding of AI’s role in higher education, highlighting the importance of critical and functional integration—especially in non-technical disciplines where ethical considerations, reflective practice, and inclusive learning are crucial.