This session describes a three-phase initiative that uses AI-assisted individualized feedback to improve MCQ quality. Following review of 215 examination items using a structured quality checklist, personalized feedback reports were generated and shared with item writers. The project evaluates whether this intervention improves the quality of subsequently developed items. Attendees will learn practical approaches for integrating AI into item review, feedback, and quality assurance while maintaining expert oversight and assessment integrity.