Artificial Intelligence (AI) is increasingly used to support communication and learning in culturally diverse higher-education environments. This study examined the potential of an AI-based digital platform to enhance university students’ intercultural communication competence and explored their perceptions of the platform. A quantitative pre-experimental design employing a one-group pre-test–post-test model was used with 50 undergraduate students from diverse cultural, linguistic, and regional backgrounds. Intercultural communication competence was measured before and after the AI-supported learning intervention across seven dimensions: cultural awareness, cultural empathy, respect for cultural diversity, cross-cultural communication confidence, communication adaptability, appropriate language use across cultures, and conflict management in intercultural contexts. A post-intervention questionnaire was also administered to assess students’ perceptions of the platform. Descriptive analysis showed that the overall mean intercultural communication competence score increased from 3.13 in the pre-test to 4.44 in the post-test. Post-test scores improved across all seven dimensions, with respect for cultural diversity obtaining the highest mean score (M = 4.58), while conflict management recorded the lowest post-test mean (M = 4.33). Students also reported highly positive perceptions of the platform, with an overall mean of 4.58. The findings indicate that AI-supported learning may facilitate cultural awareness, communication adaptability, culturally appropriate language use, confidence, and intercultural reflection. The study highlights the pedagogical potential of AI as a reflective communication-support tool while emphasizing that human judgment, cultural sensitivity, and critical AI literacy should remain central to intercultural learning.