What if your Estate Could Talk?
Universities and NHS organisations face increasing pressure to optimise space utilisation, reduce carbon impact, and improve the experience of students, staff, patients, and clinicians, often while working with fragmented estate data. Teaching spaces, libraries, study areas, and clinical environments generate vast amounts of information through occupancy sensors, scheduling, and operational systems, yet this data is rarely translated into clear, actionable insight that supports effective estate decision-making.
In this session, attendees will experience a live, on-stage conversation with an AI assistant trained on real occupancy and utilisation data from universities and NHS estates. Through natural language interaction and real-world examples, the session will show how AI can reveal underused space, highlight gaps between planned and actual use, and inform smarter decisions around cleaning, energy use, and operational planning. Attendees will gain practical insight into how AI can sit on top of existing estate systems to make complex data accessible, support evidence-based planning, reduce operational cost and carbon impact, and move estates teams from retrospective reporting to continuous, decision-ready insight.
