ADNOC

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ADNOC has 3 source-linked AI deployments documented in AIUseCaseHub, across 1 industry and 1 country. Key partners include AIQ.

Use Cases

3

Industries

1

Countries

1

Hyperscaler mix

See whether ADNOC's cases are powered by Microsoft, AWS, GCP, or multiple providers.

How ADNOC builds AI

Build / Buy / Compose across this company's documented cases

BuildBuyComposeMixed

2 of 3 cases classified (67%) · Compare all use-case types

Use case portfolio

Use case types at ADNOC

Energy operations automation leads with 2 of 3 documented cases; 2 distinct types appear across the visible portfolio.

Reported outcomes

2 cases report measurable results

−50%

Time & speed

median · 1 metric

Medians of results published in ADNOC cases, normalized for comparability. See all benchmarks →

Evidence persistence

2 of 2 judgeable cases are still publicly referenced · 2 show the organization expanding AI use.

Durability of public evidence, not whether systems remain in production. How this is measured →

Technology snapshot

What ADNOC uses across visible cases

AI Agents appears in 2 of 3 indexed cases; 4 named technologies are mentioned, led by Azure AI.

All Use Cases (3)

Microsoft

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.

Agent
Microsoft

ADNOC and Masdar accelerate energy decarbonization and efficiency

ADNOC and Masdar, major energy companies in the UAE, signed a Strategic Collaboration Agreement with Microsoft to drive AI deployment in energy operations with a focus on sustainability and decarbonization.The agreement involves evaluating opportunities to power Microsoft's data centers in the region with renewable energy from Masdar and deploying AI to enhance efficiencies and minimize emissions.Projects span carbon capture and storage, low-carbon ammonia and hydrogen production, and boosting biodiversity monitoring.The article highlights the transformative role of AI in the energy sector, referencing a co-authored industry report and a CEO forum on energy and technology alignment.ADNOC has already used AI tools to abate 1 million tonnes of CO2 in 2023 and claims $500M in value created through efficiency.The companies are aligning efforts with the UAE's Net Zero by 2045 ambition and global methane emission reduction targets.AI is recognized as critical to meeting both energy and sustainability challenges, requiring collaboration across technology, energy, science, and policy.

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