Energy operations automation

Iberdrola, a Spain-based multinational utility company, uses AWS to support sustainability and energy transition initiatives at global scale.The article says Iberdrola enhances IT operations in ServiceNow using Amazon Bedrock AgentCore and different agentic architectures to manage thousands of change requests and incident tickets more efficiently across departments.It also says Iberdrola uses AWS AI/ML and generative AI capabilities to optimize renewable energy production, lower energy consumption and cost, and accelerate energy solutions into production.

IberdrolaEnergy & Utilities

Demand IQ built a software-as-a-service product that uses conversational AI and geospatial data to make residential solar shopping more transparent and accessible.The solution helps homeowners quickly assess whether their roofs qualify for solar, understand estimated costs and savings, and move through qualification, quoting, and appointment booking online.

Demand IQEnergy & Utilities

Microsoft's AI Co-Innovation Lab in Milwaukee has collaborated with over 60 small- and medium-sized manufacturing companies in Wisconsin to develop tailored AI solutions that address various operational challenges.Participating companies include Paper Machine Converting Company, Husco, Packer Fastener, Renaissant, Sentry Equipment, and Wiscon Products, spanning industries such as paper manufacturing, automotive parts, fastening supplies, shipping logistics, and precision machinery.The lab developed prototypes like real-time anomaly detection systems on Azure, AI-powered report evaluation tools, automated order matching software, multilingual voice assistants for logistics, AI-driven contract compliance systems, and production scheduling optimizations.These innovations have accelerated tasks that previously took weeks or months down to days or weeks, increased operational efficiency and accuracy, and provided competitive advantages for the manufacturers.

Paper Machine Converting CompanyManufacturing

Siemens partnered with Microsoft to develop Industrial Copilots deployed on the Siemens Xcelerator open digital business platform leveraging Azure OpenAI Service.The AI copilots assist engineers, operators, and decision-makers by translating machine and production data into actionable insights and recommendations with natural language interaction.Siemens Industrial Copilots serve automation engineers, software developers, and shop floor operators with use cases such as faster code generation, debugging, application development acceleration, and real-time troubleshooting.The copilots have resulted in up to 60% faster code generation, significant reduction in simulation times, and up to 60% reduction in unplanned downtime, enhancing operational efficiency and knowledge transfer.Siemens plans to add multimodal capabilities for image and text diagnosis and explore agent-based autonomous automation.

SiemensManufacturing

Infosys, in partnership with Microsoft, developed an AI agent-powered productivity solution that transforms operations in the energy sector. Leveraging Microsoft Copilot Studio, Azure OpenAI, Azure AI Foundry, Infosys Topaz, and Infosys Cobalt, the solution turns massive operational datasets into actionable insights for improved safety, reliability, and efficiency.The AI Assistant digests complex reports, images, and tables, providing predictive insights and real-time alerts to operators. This enables faster, data-driven decision-making and automation of repetitive workflow and report generation tasks. Operators can anticipate and avoid potential issues, minimizing non-productive time (NPT) and operational risk.By integrating advanced conversational AI into operational workflows, the solution empowers energy sector companies to unlock new productivity levels. It also improves coordination between engineering, field teams, and back-office operations through consistent, real-time insights accessible through intuitive conversational interfaces.Built atop the Microsoft Cloud and AI stack, Infosys embeds these agentic AI capabilities into their platforms for the energy industry, delivering measurable improvements in key safety and efficiency KPIs.

InfosysEnergy & Utilities

Microsoft in partnership with Incredible Health developed AI solutions to address high insurance claim denial rates and administrative burdens in rural hospitals, helping improve financial health and workforce efficiency.The AI-based claims denial navigator streamlines denied Medicare, Medicaid, and commercial insurance claims resolution for hospitals, offering actionable recommendations to billing staff.Incredible Health created AI voice agents that assist healthcare workers with resume refinement, interview preparation, and personalized candidate outreach, supporting over 1 million healthcare workers.Microsoft technologies used include Azure AI, Copilot, and AI voice technologies, enhancing workflow automation and hiring processes in the healthcare sector.

700 rural hospitals in the United StatesHealthcare

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.

ADNOCEnergy & Utilities

Asia-Pacific's utilities sector is undergoing rapid modernization, pushed by rising energy demand, aging infrastructure, and decarbonization mandates. Microsoft, in collaboration with regional utilities and partners such as Schneider Electric, is driving transformation across Australia, Japan, and Southeast Asia. The initiative leverages AI, Azure Cloud Platform, and generative AI to automate maintenance, streamline regulatory processes, manage distributed energy resources, and optimize forecasting. Notable implementations include predictive maintenance for grid assets, AI-generated permitting documents, and distributed energy resource management systems. Utilities such as Japan’s largest power generator and Pacific Gas and Electric have benefited from AI advisors and real-time anomaly detection, enhancing grid reliability and operational safety. The solutions are designed not only for technical efficiency but also to improve regulatory compliance and support renewable integration. Results include significant risk reduction, improved forecasting, and accelerated clean energy project implementation.

Japan’s largest power generatorEnergy & Utilities

Volkswagen Group is modernizing vehicle production with AI to improve efficiency, flexibility, and sustainability across its global factories.Using the Digital Production Platform (DPP) powered by AWS, Volkswagen deploys over 1,200 AI applications worldwide in 43 factories.AI applications optimize electricity consumption, reducing energy costs by 12% and CO2 emissions, enable predictive maintenance, and improve quality control with real-time image analysis.DPP facilitates faster detection of production errors and supports software deployment, making production more flexible and resilient to disruptions.The collaboration with AWS extends to preparing for software-defined vehicles and next-gen electronics architecture joint venture with Rivian Automotive.

VolkswagenManufacturing

Schneider Electric, a global leader in energy and industrial automation, faced growing operational complexity and rising energy demands in AI-driven industrial environments. To maintain its leadership and advance sustainability, Schneider Electric developed an AI-native ecosystem centered on its EcoStruxure platform and powered by Microsoft Azure AI Foundry and Azure OpenAI. Strategic alliances with Microsoft and NVIDIA enabled the integration of AI throughout energy, automation, and sustainability applications. Schneider Electric now delivers industrial AI copilots, end-to-end AI-ready infrastructure for high-density data centers (including liquid cooling with Motivair), predictive maintenance, and a data-driven 'self-healing' supply chain. The architecture enables seamless connection from sensors and hardware to cloud AI services, driving outcomes like lower costs, accelerated delivery, and massive reductions in energy and carbon footprint. Schneider Electric has achieved a €130M+ supply chain value, reduced inventory/delivery times, and scaled recurring AI software revenues. Its open ecosystem and vertical integration make it a dominant industrial AI partner globally.

Schneider ElectricManufacturing