AES
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AES has 2 source-linked AI deployments documented in AIUseCaseHub, across 1 industry and 2 countries. Key partners include Accenture.
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Hyperscaler mix
See whether AES's cases are powered by Microsoft, AWS, GCP, or multiple providers.
How AES builds AI
Build / Buy / Compose across this company's documented cases
1 of 2 cases classified (50%) · Compare all use-case types
Use case portfolio
Use case types at AES
Audit automation leads with 1 of 2 documented cases; 2 distinct types appear across the visible portfolio.
Reported outcomes
1 case reports measurable results
−10%
Cost savings
median · 1 metric
Medians of results published in AES cases, normalized for comparability. See all benchmarks →
Technology snapshot
What AES uses across visible cases
AI Agents appears in 1 of 2 indexed cases; 4 named technologies are mentioned, led by Anthropic Claude 3.
All Use Cases (2)
AES deploys genAI agents on Gemini Enterprise Agent Platform to automate safety and compliance audits
AES deployed gen AI agents to significantly increase the accuracy and speed of health and safety audits.The system processes multilingual audit documents, builds knowledge bases, and coordinates agent tasks with human review in the loop.
Leading utilities enhance operations and sustainability with Microsoft AI
Major utility providers including Duke Energy, AES, Con Edison, Ontario Power Generation, and Exelon have implemented Microsoft-based AI solutions to solve pressing business and sustainability challenges. Duke Energy, with Accenture, rolled out an Azure/Dynamics 365 platform integrating satellite and sensor data for real-time methane leak detection, improving emissions management and repair prioritization.AES deployed predictive analytics on Azure for wind turbine maintenance, energy demand forecasting, and load distribution, achieving cost savings and outage reduction with data-driven decision-making. The system uses IoT data and advanced analytics to streamline operations.Con Edison introduced AI tools on Microsoft platforms to minimize power generation costs and reduce CO2 emissions, enhancing customer energy management and supporting decarbonization goals.Ontario Power Generation developed ChatOPG, an employee-facing AI assistant powered by Microsoft AI, boosting productivity, information access, and operational safety.Exelon leverages AI and drone-based analytics tools to optimize grid inspections, increasing grid reliability, maintenance accuracy, and reducing emissions. Collectively, these use cases demonstrate how AI adoption drives cost efficiency, environmental outcomes, and improved customer service in the utilities sector.
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