ADNOC Drives Predictive Maintenance and Operational Efficiency

Abu Dhabi National Oil Company (ADNOC) undertook a digital transformation to address the demanding challenges of global energy supply, decarbonization, and minimizing operational downtime. By deploying AI-powered platforms, including ENERGYai and Neuron 5, ADNOC capitalized on Microsoft Azure technologies and autonomous AI agents to modernize its operations. These platforms were developed through collaboration with Microsoft and AIQ, focusing on seismic analysis, predictive asset maintenance, and optimization of energy usage. The new AI-driven processes enabled real-time insights and actionable analytics. Predictive maintenance capabilities led to rapid identification and resolution of issues, while autonomous agents continuously monitored and optimized energy use. Workflows that previously took months were accelerated to days or minutes, boosting efficiency. The company saw a significant reduction in unplanned downtime—up to 50% at one plant, more sustainable and reliable operations, and enhanced workforce empowerment using the unified OneTalent platform. Streamlining over 16 legacy HR processes, the company aligned talent and strategic goals, nurturing innovation and capacity. AIQ served as the consulting and implementation partner. Broad use of Azure OpenAI and Azure Machine Learning put ADNOC at the forefront of energy sector digitalization. The intelligent platforms not only improved plant reliability and productivity but also made substantial progress in sustainability.