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

https://cdn.mos.cms.futurecdn.net/g2UeWgPp3Uvp3JUea9K7JV-1920-80.png
  • AI tool predicts NHS staff resignations using workforce patterns and data
  • Royal Berkshire NHS wins award for innovative employee retention technology
  • New model explains reasons behind possible staff departures before decisions happen

An AI forecasting tool built for the Royal Berkshire NHS Foundation Trust in the UK has won recognition for predicting staff resignations before they actually happen.

The project, developed in collaboration with the University of Reading, draws on workforce data to flag what's pushing employees toward the decision to leave.

It picked up the Aiconics AI Enterprise Business of the Year award at the National AI Awards 2026, after judges weighed in on its real-world application.

AI model digs into workforce patterns behind possible departures

The system was built to give managers an earlier warning of retention problems across a workforce of around 7,500 NHS employees.

Unlike the Trust's old reactive process, this model actually explains the reasoning...

Copyright of this story solely belongs to techradar.com. To see the full text click HERE

Read more