Webinar: AI’s Role in Next-Gen Transportation Project Delivery in North America

Major transportation projects are vital to economic growth, yet their delivery track record tells a difficult story. On average, major rail projects overrun on schedule and cost by 45%. Major road projects see average schedule overruns of 38% and cost overruns of 20%.

The root causes of this persistent underperformance are well-documented: optimism bias drives overconfident forecasts and underestimated durations, while availability and salience biases skew risk management towards the most recent or visible threats rather than the most critical. Compounding these issues, strategic misrepresentation can lead to plans being shaped to satisfy stakeholders rather than reflect delivery reality.

Traditional methods have struggled to counter these biases, leaving most organisations in reactive mode - responding to problems after they’ve materialised. Now, a new generation of Predictive and Generative AI tools offers the ability to shift decisively to a proactive approach - identifying risks early, focusing mitigation efforts where they will have the most impact, and building schedules that can withstand real-world pressures.

In this session, you’ll see how transportation project leaders around the world are now using AI to:

• Generate robust, detailed schedules in minutes
• Forecast and proactively de-risk delivery
• Model “what-if” scenarios to guide rapid, informed decisions
• Strengthen health & safety outcomes
• Improve schedule certainty and avoid costly overruns

We’ll share sector-relevant case studies—from the likes of Transpennine Route Upgrade and HS2—showing how AI-powered forecasting has uncovered hidden risks, avoided millions in potential overruns, and improved schedule certainty. 

Expect live demonstrations of nPlan’s technology in action—connecting the dots from AI-driven insight to tangible project outcomes—and practical guidance for transportation leaders ready to leave reactive delivery behind.