Most fatigue technology is reactive, rather than preventative. There is a need to move beyond monitoring and use data-driven technologies to prevent fatigue at its source before it becomes a safety risk. Drawing on two large-scale, industry-supported research projects, this session shows how AI analytics, wearable sensors and environmental monitoring can identify and control fatigue risk before it contributes to an incident. Discover how these technologies pinpoint the work and non-work factors driving fatigue, track how fatigue shifts across a working day, and turn that data into practical decisions on work design. The session closes on the practical step most organisations miss: Converting technology-generated data into WHS controls to prevent risk.