Case Study: PaCE improves oil and gas project forecasting with Nodes & Links AI

PACE boosts forecast accuracy 37% with Nodes & Links

PaCE, a consultancy firm specializing in project controls for the oil and gas industry, faced the challenge of optimism bias in project forecasting. This human tendency led to inaccurate schedules, unpredictable timelines, and costly delays for their clients. To overcome this, PaCE partnered with vendor Nodes & Links to implement its AI-driven solution for enhanced forecast accuracy and proactive risk management.

By integrating Nodes & Links AI, PaCE established a monthly workflow where the AI performs Quantitative Schedule Risk Analysis. This system compared AI-generated forecasts with human predictions to identify and prioritize high-risk milestones for mitigation. The results were significant: Nodes & Links AI outperformed human forecasts in 15 out of 17 milestones, demonstrating a 37% higher accuracy and reducing the average forecasting error from 150 days to 95 days. This allowed PaCE to manage risks proactively and improve decision-making speed by up to ten times.

PACE