The Role of Artificial Intelligence Technology in Optimizing Company Operational Processes

Abstract

The development of Artificial Intelligence (AI) technology has become a key driver of digital transformation in the business world. AI serves not only as a supporting tool but also as an operational strategy capable of increasing efficiency, productivity, and competitiveness of companies. This study aims to analyze the role of AI in optimizing company operational processes through various forms of implementation such as automation, intelligent data processing, and predictive capabilities. The study used a qualitative method with a literature study approach sourced from scientific articles, industry reports, and academic publications related to the use of AI in business operations. The results show that AI can accelerate work processes by automating routine tasks, reducing the rate of human error, and providing more accurate data analysis to support managerial decision-making. Furthermore, AI has been shown to improve supply chain efficiency, optimize production schedules, and improve resource management. Companies that adopt AI also show an increased ability to respond to market changes due to AI's ability to make real-time, data-driven predictions. However, this study also identifies several challenges, such as the need for adequate infrastructure, human resource readiness, and issues of ethics and data security. Overall, this study confirms that the implementation of AI has a strategic role in optimizing company operations and needs to be planned comprehensively so that its benefits can be implemented optimally.