EXPLORACIÓN DE LAS POSIBILIDADES DE APLICAR INTELIGENCIA ARTIFICIAL EN LA EVALUACIÓN DE OFERTAS EN CONCURSOS DE MÉRITOS PARA CONSULTORÍA EN INFRAESTRUCTURA DE TRANSPORTE EN COLOMBIA

Abstract

This article addresses the evaluation of proposals for hiring consulting services to develop the necessary studies and designs for implementation in transportation sector projects in Colombia. A gap was identified between the existing regulatory framework and operational and substantive deficiencies that prevent the evaluation process from being conducted efficiently and in accordance with the principle of economy. This includes challenges such as the volume of documents, subjectivity in technical evaluations, failures in electronic procurement systems, among other issues and complications. The study proposes the strategic integration of artificial intelligence as a support tool; its core objective is to modernize evaluation processes through AI models to automate repetitive tasks, verify requirements, and compare proposals, reducing errors and ensuring transparency in decisions. The proposal emphasizes a gradual, supervised approach where artificial intelligence complements evaluation committees, enhancing their ability to issue objective evaluation reports based on verified data. Thus, this article not only diagnoses critical flaws in public entities but also offers a technological roadmap to align practices with principles of transparency, efficiency, economy, effectiveness, and objective selection. This positions artificial intelligence as a catalyst for agile, reliable consultant contracting tailored to the demands of the transportation sector.