AES deployed generative AI agents built on Vertex AI and Anthropic’s Claude models to overhaul its health and safety audit processes. They connected Claude via API calls within the Vertex AI environment, addressing security through configured service accounts and leveraging Vertex AI Model Garden for simplified deployment. This automation streamlined document reviews for large, multilingual audit files, significantly reducing manual labor.

Implemented a hybrid cloud architecture by moving one-third of its servers to Azure public cloud and another third to Azure Local for edge capabilities, managed via Azure Arc to seamlessly integrate on-premises and cloud environments for advanced industrial AI use cases.

AES uses Claude on Google Cloud’s Vertex AI to automate their safety audit process, employing a multi-agent system to analyze documents, break down tasks, and generate reports. This system processes hundreds of pages, evaluates compliance, and produces detailed audit reports in about an hour.

Copel integrated Gemini Pro 1.5 to power a virtual agent that directly interfaces with their on-premises SAP ERP system using Google Cloud’s Cortex Framework along with Vertex AI, BigQuery, Dataplex, and Open Data QnA. The agent processes natural language queries from employees to deliver real-time insights, replacing manual data extraction and processing workflows. This integration improved data democratization and significantly accelerated decision-making across the enterprise.

Hydro Ottawa, a major electricity provider for Canada’s capital, implemented Google Workspace and Gemini to improve collaboration, create job posts, conduct legal and technical research, write policies, generate content, summarize documents, and organize meeting agendas across all teams.

Plenitude harnessed Google Cloud’s OCR and PaLM models alongside Document AI to automatically extract data from energy bills and verify customer IDs. They implemented a cloud-based workflow using Vertex AI Platform to integrate with its registration systems and automate identity checks, effectively streamlining customer onboarding and fraud prevention processes.

FIDO Tech developed an AI acoustic leak detection tool that processes sound data from mobile sensors attached to water pipelines. The system uses deep learning powered by OpenAI’s GPT-4 on Microsoft Azure OpenAI Service to analyze acoustic files and accurately pinpoint leak locations and assess leak severity without needing pipe-specific details. It optimizes maintenance workflows by providing precise leak ranking and advising optimal sensor placement, enabling utilities to prioritize repairs and reduce water wastage.

DEWA uses Azure AI Services, Azure OpenAI Service, and Copilot for Microsoft 365 to enhance internal operations. The AI-powered Business Requirement Document Generator reduces document creation time, while Copilot helps employees increase productivity.

Uniper, a German energy company, uses Microsoft's Copilot for Microsoft 365 and Copilot for Security to enhance employee productivity. Copilot assists in transcribing and summarizing meetings in Teams, extracting action points from Outlook emails, suggesting structures for PowerPoint presentations, and preparing targeted information. Auditors use Copilot to create audit plans and checklists. Copilot for Security helps identify risks faster and manage threats more effectively.

E.ON, a leading energy provider in Germany, is utilizing Microsoft Copilot for Microsoft 365 to assist employees in efficiently managing and processing vast amounts of data. Copilot helps automate routine tasks, generate presentations, transcribe and minute Microsoft Teams meetings, and quickly locate files and information across Microsoft 365 applications. This enables employees to focus on value-adding tasks, increasing productivity and efficiency.

MAIRE, a leading energy and engineering group, integrated Microsoft 365 Copilot to automate and streamline routine and repetitive tasks for their engineers. By deploying Copilot across various teams and encouraging its adoption through their 'Human in the Loop' portal, they have significantly reduced time spent on paperwork, allowing staff to focus on higher-value activities.

PG&E uses Copilot Studio and low-code AI tools to automate over 315 processes, saving 527,000 hours annually and nearly $75 million. AI-powered assistants also handle 25-40% of help desk requests, optimizing employee workloads and improving service levels.

Petrochemical Industries Company (PIC), a petrochemical subsidiary of Kuwait Petroleum Corporation, implemented Microsoft 365 Copilot to automate work processes, enhance productivity, and ensure data security. Employees use Copilot for drafting emails, generating documents, summarizing meetings, and creating social media content, streamlining operations and improving professional communication.

Motor Oil Group, a leading energy company in Greece, implemented Microsoft Copilot and Microsoft 365 Copilot to automate routine tasks across departments. By integrating AI into workflows, tasks like crafting speeches, presentations, and job descriptions now take minutes instead of weeks. This has allowed staff to focus on strategic initiatives, enhancing overall efficiency.

Enerjisa Üretim implemented Microsoft Copilot to assist employees in summarizing meetings, drafting documents, creating presentations, and compiling reports. By leveraging AI capabilities, they significantly reduced time spent on administrative tasks, freeing employees to focus on strategic initiatives and increasing overall productivity.

Petrobras, a Brazilian energy company, developed ChatPetrobras using Azure OpenAI Service to help employees summarize reports, rewrite and translate text in documents, emails, and Teams messages. Hosted on Azure infrastructure, the tool ensures data privacy and compliance with government regulations. It is available to 110,000 users and also assists IT staff in generating code, improving productivity across the organization.

Broward County, Florida, and Southern California Edison are using geospatial capabilities and AI to improve infrastructure planning and monitoring, generate new insights, and create regional resilience for communities facing climate challenges today and tomorrow.