Core Insights - Yokogawa Electric Corporation has successfully deployed multiple autonomous control AI agents at Aramco's Fadhili Gas Plant, marking a significant advancement in industrial AI solutions aimed at optimizing operational efficiency [1][4]. Technology Implementation - The AI solution utilizes multiple coordinated AI agents based on the Factorial Kernel Dynamic Policy Programming (FKDPP) reinforcement learning algorithm to autonomously control and optimize acid gas removal operations [2][6]. - The deployment was executed in three phases, progressively optimizing different sections until achieving autonomous control of the core process in the acid gas removal unit [3]. Performance Outcomes - Initial results from the Fadhili Gas Plant indicate a reduction of 10% to 15% in amine and steam usage, approximately 5% reduction in power usage, improved process stability, and a notable decrease in manual operator intervention despite changes in ambient conditions [4]. Strategic Vision - Aramco's senior leadership emphasizes the company's commitment to leveraging industrial AI applications to enhance efficiency, sustainability, and shareholder value, positioning itself as a technology leader in the energy sector [5]. - Yokogawa's leadership expresses pride in being entrusted with this groundbreaking technology and highlights the transition from industrial automation to industrial autonomy as a key focus for future developments [5][6].