In this methodology, the use of appropriate indicators allows for estimating, with minimal error, the deviations that will occur in the construction project for various real or simulated impacts. Likewise, the project’s historical data enables the generation of comparison thresholds to determine deviations and measurements of project objectives, using ‘artificial neural networks’ as a tool.