Artificial intelligence (AI) plays an important role in the continuous monitoring and maintenance of smart grids, ensuring efficiency in various energy sectors In this research, we explore towards seamless integration of AI in smart within grids, where it organizes data collection, analysis, Also identifying possible cases the individual AI sub-modules of the smart grid are dedicated to real-time testing and analysis, transferring deviations to the main AI module, which facilitates their deployment involve faster. This integration provides faster monitoring capabilities, dramatically reduces downtime, and makes the grid more flexible and efficient. This paper reviews energy industry datasets, emphasizing the importance of using quality data to train effective AI models and the use of SCADA by AI to monitor the various systems and communications between the grid and the customer. The study concludes that the use of AI in smart grid predictive maintenance increases productivity, reduces costs, and has a positive impact on environmental sustainability in the energy sector.