What if your Estate could talk?

Universities generate vast amounts of data across their estates. Teaching spaces, libraries, study areas, and support facilities continuously produce information through occupancy sensors, timetabling systems, access systems, and user feedback. However, many institutions still struggle to translate this data into clear, operational decisions that improve space utilisation, sustainability, and the student and staff experience. Using real-world university case studies, the session demonstrates how AI supports evidence-based space planning, operational efficiency. Attendees will also see a live demonstration of a conversational AI prototype designed specifically for university estates, enabling facilities teams to query campus performance using natural language.