This study employed a Research and Development (R2R) approach with three objectives: 1) to develop an artificial intelligence–based meeting room management system to enhance service efficiency at the University of Phayao Hospital, 2) to evaluate the system’s performance, and 3) to assess user satisfaction. The system was developed as a real-time web application, enabling users to conveniently check schedules and reserve meeting rooms while addressing the limitations of the previous system, which relied on telephone inquiries and spreadsheet-based recordkeeping, often resulting in delays and duplicate bookings. The sample consisted of 30 University of Phayao personnel, selected through purposive sampling from users of the meeting room reservation service during December 2025 to January 2026. The research instruments included an expert-based system performance evaluation form and a user satisfaction questionnaire. Data were analyzed using mean and standard deviation. The findings revealed that: 1) the developed system enabled immediate checking and updating of meeting room reservation data; 2) the overall system performance was rated at a high level (= 4.06, S.D. = 0.33); and 3) overall user satisfaction was rated at the highest level (= 4.55, S.D. = 0.54).