As infrastructure projects become larger, more complex and subject to increasing scrutiny, ensuring quality across every stage of delivery has become a critical industry priority. Traditional quality management processes often rely on manual inspections, fragmented data and reactive approaches to defect identification, creating challenges for project teams seeking greater efficiency and consistency. Advances in artificial intelligence are beginning to transform this landscape, enabling earlier detection of issues, better predictive insights and more informed decision-making throughout the project lifecycle.

The session will examine how AI is reshaping quality management in infrastructure, from identifying defects and improving compliance to enhancing project performance and reducing risk. It will explore the opportunities and challenges associated with integrating intelligent technologies into existing workflows, highlighting how data-driven approaches can help improve delivery outcomes, strengthen accountability and support higher standards of quality across the infrastructure sector.