Advanced digital transformation for comprehensive improvement of business administration

Abstract

The research addressed the impact of intelligent automation on business management, with the aim of analyzing its benefits, limitations, and key conditions for effective implementation. Companies from various productive sectors with prior experience in the adoption of artificial intelligence-based technologies were selected. The methodology employed integrated the approach of Fuzzy Cognitive Maps, which allowed for the modeling and examination of the interrelationships among strategic, technical, and organizational factors that influence automation processes. The results showed that intelligent automation contributed to overall improvements in operational efficiency, decision-making, and data management accuracy. Furthermore, it was identified that factors such as investment in technological infrastructure, training of human talent, and system integration were critical to successful implementation. The analysis using Fuzzy Cognitive Maps made it possible to visualize the network of influences among variables, ranking their degree of impact and interdependence. It was concluded that intelligent automation cannot be understood as an isolated solution, but rather as part of a systemic process of digital transformation that requires strategic vision and long-term sustainability. The research provided a useful reference framework for organizations interested in adopting these types of solutions and proposed future lines of study focused on evaluating long-term impact and adaptation to new technological contexts.