This study assessed the adoption of Artificial Intelligence (AI) technologies in the registry offices of the Federal University of Education, Zaria. Against a backdrop of global digital transformation in higher education, this research sought to identify the specific AI technologies applicable to information management and evaluate their perceived impact on administrative practices. A quantitative research methodology was employed, utilizing a descriptive survey design. A structured questionnaire was administered to a population of 98 records management staff to collect data on their experiences and perceptions. The data were analyzed using descriptive statistics (frequencies and percentages). The findings revealed that Optical Character Recognition (OCR) and Machine Learning are the most widely applicable AI technologies in this context, while tools like chatbots, predictive analytics, and Robotic Process Automation (RPA) demonstrate lower adoption rates. Furthermore, the study confirmed that AI adoption significantly enhances accuracy, efficiency, security, and accessibility of information management. However, its impact on regulatory compliance and cost-effectiveness was perceived as less pronounced. The study concludes that while a foundation for AI adoption exists, its potential is not yet fully realized. It recommends the strategic integration of a broader suite of AI tools, complemented by comprehensive staff training and robust compliance frameworks, to optimize information management practices within the university registry and similar Nigerian institutions.