This paper presents a practical case of the early integration of artificial intelligence tools in a university mentoring program aimed at facilitating the academic and personal adaptation of first-year students. The initiative was developed within the School of Industrial Engineering at the University of Valladolid (Spain), as part of a long-standing institutional effort to improve mentoring practices through digital innovation. The study focused on the use of three AI-based resources: the development of conceptual maps, the creation of interactive presentations, and the enhanced analysis of satisfaction surveys completed by students, mentors, and tutors across multiple academic years.

To support the structure and content of the mentoring sessions, a dynamic conceptual map was generated using AI-assisted text summarization and formatting tools. This map provides a comprehensive, hierarchical visualization of key topics to be addressed during meetings, serving both as a planning guide for mentors and a communication tool for students. In addition, generative AI applications were employed to create visually coherent and engaging presentations based on existing program documentation. These resources streamlined the preparation process for academic staff while ensuring consistency across sessions.

Another significant innovation was the use of AI to analyse survey data from previous program cycles. By automating the identification of trends and generating summary insights, the technology enabled a more efficient and detailed understanding of participants’ feedback. Visual data representations were also produced to support clearer communication of results to stakeholders.

The implementation of these AI tools led to a noticeable reduction in preparation time, greater coherence in the materials used, and an improved user experience for all parties involved. Importantly, all content generated with AI was critically reviewed by staff to ensure academic rigor and pedagogical suitability. This experience demonstrates that AI, when ethically and responsibly applied, can significantly enhance the efficiency, clarity, and impact of mentoring initiatives in higher education. The materials created are designed to be adaptable and will continue to evolve based on participant feedback and future technological developments.

Keywords: Artificial intelligence, mentoring program, conceptual map, presentation design, survey analysis, academic support, student engagement.