Utilizing Artificial Intelligence to Optimize Business Processes

Abstract

The utilization of Artificial Intelligence (AI) has emerged as a crucial catalyst in optimizing business processes across a wide range of sectors, driving both operational improvements and strategic transformations. Through its rapid data analysis capabilities, adaptive learning mechanisms, and advanced process automation, AI is able to significantly enhance operational efficiency, reduce overall costs, streamline workflows, and minimize the likelihood of human errors. This literature study aims to identify prevailing trends, effective implementation strategies, and key challenges associated with the adoption of AI in business process optimization. The research was conducted by systematically reviewing scientific articles sourced from indexed national and international journals, all published, ensuring the relevance and timeliness of the findings. Results indicate that AI applications encompass diverse domains, including predictive analytics, workflow automation, supply chain optimization, and the enhancement of customer experience. The challenges identified involve limited resources, resistance to change, data privacy concerns, and the complexity of system integration. The findings reinforce AI’s significant role in sustainable business transformation, contingent upon well-planned implementation strategies and strong technology governance.