Soluciones basadas en inteligencia artificial para reducir tiempos y costos en la interventoría y supervisión de contratos de obra pública en Colombia

Abstract

This research aimed to propose a conceptual model based on artificial intelligence (AI), particularly machine learning, natural language processing (NLP), and generative AI models to optimize public works supervision processes in Colombia. The study identifies limitations of the traditional supervision model, including delays, deficiencies in document management, and difficulties in contractual control. Likewise, the study proposes a conceptual model based on digital platforms such as Procore to strengthen operational efficiency, information traceability, and early risk detection through automation and real-time monitoring. The research used a qualitative, descriptive approach supported by a documentary review of academic, legal, and technological sources on digital transformation in the construction sector. The results show that integrating artificial intelligence and collaborative tools can improve decision-making, optimize administrative processes, and strengthen transparency in public infrastructure contracts. Finally, the study concludes that artificial intelligence does not replace the supervisor's professional judgment but instead supports preventive control and operational efficiency in public works supervision processes in Colombia.