Diseño e implementación de un flujo de gestión de proyectos constructivos basado en PMI, BIM e inteligencia artificial no-code

Abstract

This project proposes the design and implementation of an integrated workflow for civil engineering construction management based on Project Management Institute (PMI) areas, in conjunction with Building Information Modeling (BIM) methodology using nocode artificial intelligence tools. The aim is to optimize planning, control costs, and improve communication between stakeholders through automated processes applied to the case study of the foundation stage of a residential building. The workflow was developed by linking a schedule, budget, unit price analysis (UPAs), work log, and three-dimensional models of the foundation, which were processed with ChatGPT to obtain standardized files. Using the Make tool, the information was linked to different platforms such as Trello for activity management, Power BI for data analysis and real-time decision-making, and Notion AI for report generation. The model was applied directly to the case study, showing an approximate 60% reduction in communication times and a 51% cost saving in spreadsheet operating costs compared to the traditional method. In addition, a technical manual was developed to replicate the proposed workflow in different construction projects. The model automates the flow of information between actors and allows for more efficient and agile planning based on dashboards and performance indicators, precisely controlling costs and progress against the budget and schedule. Keywords: Project Management, Automation, No-Code Artificial Intelligence, Construction.