Artificial intelligence is poised to reshape the end-to-end risk management lifecycle for Europe’s largest and most complex construction projects. From pre-construction feasibility and design validation to procurement, scheduling, real-time site monitoring, claims prevention and operational handover, AI-enabled tools are unlocking new levels of accuracy, efficiency and cost control. For sophisticated project owners, contractors and insurance buyers, AI promises earlier visibility of emerging risks, faster mitigation decisions, more robust scenario modelling and a step-change in project governance quality. This session explores how AI is enhancing risk analytics, improving safety and productivity, reducing change orders, optimising schedule integrity and supporting stronger risk narratives for insurers and investors.

Yet the strategic adoption of AI also brings challenges — ranging from data quality and model transparency to regulatory considerations, liability questions, cyber exposures and the risk of over-reliance on predictive tools without appropriate human oversight. The presentation will examine how organisations can balance innovation with control, ensuring AI enhances rather than replaces risk judgement.