Business & Management Studies

Abstract

This article proposes the implementation of Artificial Intelligence (AI) algorithms in the management of Brazilian intermunicipal water and sewage service consortia, utilizing coordinated and strategic programming in Python. The primary significance of this approach lies in its ability to enhance decision-making processes and offer well-informed and precise guidelines for intermunicipal management. Within this context, the theoretical foundations of intermunicipal consortia and AI are thoroughly explored, providing the basis for this qualitative study with both descriptive and propositional features. The study's results demonstrate that the utilization of AI in managing intermunicipal consortia presents a promising and innovative approach. It exhibits potential in optimizing processes, improving operational efficiency, reducing costs, and enhancing the quality of services provided to the population in areas such as data consumption analysis, leak monitoring, water quality control, and demand forecasting. For future research, it is recommended to investigate the economic feasibility, assess social and environmental impacts, and consider the ethical and legal aspects associated with the use of AI techniques. Additionally, the integration of emerging technologies such as cloud computing, Internet of Things (IoT), and blockchain should be explored to complement AI approaches.