Case Study: Suffolk achieves more accurate hospital project forecasting with nPlan

How Suffolk used AI risk management and forecasting to construct a new extension for a major Boston hospital

Suffolk Technologies, a major US building contractor, faced the challenge of managing the immense complexity and risk of constructing a large, innovative hospital extension in Boston. To confidently forecast the project timeline, validate its risk register, and avoid costly delays, Suffolk brought in its AI partner, nPlan, to utilize its AI risk management and forecasting service.

nPlan’s solution involved processing Suffolk's historical project data through its deep learning AI to create a predictive model. This model was then applied to the hospital's schedule to generate highly accurate forecasts and identify critical hidden risks. As a result, nPlan successfully forecast the project's three riskiest phases in advance and helped increase Suffolk's activity-level forecasting accuracy from 48% to 74%. This proactive approach allowed the team to mitigate specific risks, such as avoiding an estimated 20 days of delay and saving $1.25 million in potential costs, ensuring the project was delivered on time and on budget.

Suffolk Technologies

Justin Kucher

Regional Planning Manager