A tool that can predict staff resignations at the NHS, one of the UK's largest employers, just won a major AI prize (www.techradar.com)

The Royal Berkshire NHS Foundation Trust has developed an innovative AI tool that predicts staff resignations, recently winning the Aiconics AI Enterprise Business of the Year award at the National AI Awards 2026. This predictive model, created in collaboration with the University of Reading, analyzes workforce data to identify factors prompting employees to consider leaving, providing managers with early warnings instead of relying on reactive reporting. It delivers transparency by explaining the reasoning behind each prediction, allowing HR teams to address specific retention issues effectively. This advancement is significant for the AI/ML community as it showcases the application of academic research to real-world challenges in healthcare, specifically in workforce management. With a workforce of around 7,500, the tool is designed to enhance planning and improve staff retention amid rising interest in predictive AI systems across various sectors. While it supports management decisions, the emphasis remains on human judgment, raising important discussions about the accuracy, trust, and ethical implications of deploying AI in sensitive environments like healthcare.