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:
- Create visibility and buy-in of the remaining schedule.
- Generate a path to delay recovery and track progress against it.
- 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%.