Case Study:

AI Improves Megaproject Delivery for RailCo

Learn how RailCo accelerated reporting by 3,000% and enhanced schedule quality by 50%.

After experiencing years of cost overruns and delays, RailCo needed help getting its US$10B+ project back on track. RailCo’s executives and project teams needed high-quality, up-to-date schedule data with forward-looking analysis for strategic thinking.

To achieve these goals, RailCo implemented Foresight with the following aims:

  1. Create visibility and buy-in of the remaining schedule.
  2. Generate a path to delay recovery and track progress against it.
  3. Predict and prevent risks.

In less than 8 weeks of using Foresight, RailCo accelerated its reporting by 3,000%, improved schedule quality by 50%, and reduced the time needed to generate a delay recovery plan by 99%.

To learn how they did it, fill out the form to download the full case study!