As artificial intelligence gains traction in the construction industry, new use cases are emerging—from AI-enabled scheduling and predictive risk analytics to generative design and jobsite automation—that are helping solve real customer problems.

This session will explore how these innovations are reshaping workflows and augmenting decision-making, while also addressing the challenges of fragmented data, tool interoperability, and trust in AI outputs. Drawing from Suffolk’s experience and broader industry trends, we’ll share strategies for overcoming these hurdles through agile delivery models, fusion teams, and governance frameworks that align AI initiatives with business value.