System and method for assessing and balancing service level agreements for facility infrastructure

A non-transitory, machine-readable medium, comprising executable instructions that, when executed by a processing system including a processor, facilitate performance of operations, the operations comprising:

• constructing a composite machine-learning (ML) model for facilities infrastructure from facilities infrastructure data;
• training the composite ML model with historical availability data, historical performance data, and historical error rates, wherein the composite ML model yields quality of the facilities infrastructure;
• receiving a query of a facility in an area from a user;
• predicting a quality of the facility based on recent facilities data using the composite ML model;
• and
• providing the quality of the facility responsive to the query.

A method, comprising:

• constructing, by a processing system including a processor, a composite machine-learning (ML) model for facilities infrastructure from facilities infrastructure data;
• training, by the processing system, the composite ML model with historical availability data, historical performance data, and historical error rates, wherein the composite ML model yields quality of the facilities infrastructure;
• receiving, by the processing system, a query of a facility in an area from a user;
• predicting, by the processing system, a quality of the facility based on recent facilities data using the composite ML model;
• and
• providing, by the processing system, the quality of the facility responsive to the query.