Accessibility in the built environment is essential for inclusivity, yet the technical complexity of the Malaysian Standard MS 1184:2014 Universal Design and Accessibility in the Built Environment - Code of Practice (Second Revision) often creates challenges for students in applying universal design principles effectively. To address this, the Universal Design Assistant (UD-AI) was developed as an AI-supported learning tool that provides immediate and standard-compliant guidance. This study evaluated students’ perceptions of UD-AI in terms of usefulness, usability, reliability, and satisfaction. Data were collected through a questionnaire comprising 15 Likert-scale items and three open-ended questions, enabling the examination of both numerical trends and participants’ elaborated perspectives. A total of 77 undergraduate students enrolled in BST506 Building Control and Safety course participated in the study. Quantitative data were analyzed to calculate mean scores, while qualitative responses were thematically reviewed to capture user experiences. The findings revealed overwhelmingly positive perceptions of UD-AI, with an overall high mean score (M = 4.30). Usefulness (M = 4.38) and satisfaction (M = 4.35) emerged as the strongest predictors of acceptance, demonstrating that students valued UD-AI for simplifying complex standards, supporting assignments, and building confidence in applying universal design principles. Ease of use (M = 4.22) and reliability (M = 4.16) were also rated positively. Qualitative feedback highlighted enhanced understanding of the MS 1184:2014, ease of navigation, practical application support, and increased confidence, alongside suggestions for greater visual references and interactive features. Overall, UD-AI shows significant potential as an innovative pedagogical tool that bridges the gap between theory and practice in accessibility education, while also serving as a professional reference for consistent application of universal design standards in the built environment.