Innova ITFIP Magazine

Implementación de inteligencia artificial para optimizar los procesos operativos en en las pymes de El Espinal, Tolima

Jhonathan Abril Vanegas

Fabián Andrés Pórtela Guzmán

Claudia Vanesa Castro Trujillo

Michell Tatiana Osso Isaza

DOI: https://doi.org/10.54198/innova16.01

Keywords: Artificial Intelligence, SMEs, Operational Optimization, Digital Transformation, El Espinal

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Abstract

This study analyzes the implementation of Artificial Intelligence (AI) as a strategic tool for optimizing operational processes in small and medium-sized enterprises (SMEs) in the municipality of El Espinal, Tolima. The research stems from the urgent need for SMEs to adapt to technological changes in order to improve their efficiency, competitiveness, and sustainability, especially in regional contexts where digital transformation remains limited. The main objective was to assess the current level of AI adoption among local SMEs, identify the main barriers and opportunities, and propose a progressive technology adoption strategy tailored to their specific context.
A quantitative methodological approach was used, based on the application of structured surveys to representatives of local companies. The data collected allowed for the characterization of business perceptions regarding AI, as well as the assessment of knowledge levels, investment willingness, and the areas with the greatest potential for AI application. The results reveal a low level of AI implementation, mainly due to lack of technical training, perceived high costs, and limited staff preparation. However, a growing interest was identified in administrative and support-related AI tools, particularly in areas such as customer service, inventory management, and digital marketing. In response to these findings, a gradual AI adoption proposal is presented, consisting of stages including awareness-raising, internal diagnostics, pilot implementation, and scaling. This strategy aims to facilitate access to technology, reduce implementation risks, and contribute to the operational efficiency of SMEs in El Espinal. The study provides valuable insights for business decision-making and for the development of local digital transformation strategies.

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