Artificial Intelligence (AI) has become an integral part of industrial technology development, especially in the manufacturing sector. This research discusses the implementation of artificial intelligence in an integrated manufacturing system to improve production efficiency, productivity, and quality.An integrated manufacturing system is an approach that combines various aspects of production in one coordinated system, including planning, inventory management, production monitoring, and equipment maintenance. The implementation of artificial intelligence in these systems enables smarter decision- making, more accurate predictions, and more efficient automation.The methods used involve the use of machine learning and data analysis techniques to process and analyse production data in real time. In addition, the system also uses artificial intelligence algorithms to predict production disruptions, optimise production scheduling, and monitor equipment conditions continuously.The results show a significant improvement in production efficiency, a reduction in losses due to production interruptions, and an improvement in product quality. By integrating artificial intelligence in manufacturing systems, companies can respond more quickly to market changes, reduce production costs, and improve competitiveness. This research provides insights into the importance of artificial intelligence implementation in the context of an integrated manufacturing industry. It also emphasises that investing in artificial intelligence technology is a crucial step for companies that want to stay relevant in the ever-changing industry 4.0 era..

Keywords : Artificial Intelligence, Process, Implementation, Manufacturing.