Abstract: A system, method, and computer program product are provided for predicting delays in delivering a project to a customer. In operation, a system identifies one or more go-live milestones associated with a software project. The system receives information from a plurality of project management systems that are managing a governance process of the software project. The system determines whether there are any potential delays and associated magnitudes in accomplishing the one or more go-live milestones based on the information by utilizing a machine learning algorithm that implements a first analytic layer that analyzes static variables and a second analytic layer that analyzes dynamic variables. The system correlates and combines results from the first analytic layer and the second analytic layer upon every upload of new information. The system outputs information associated with any determined potential delays in accomplishing the one or more go-live milestones.