{"slug":"engie-impact-identifies-risk-more-accurately-using-azure-analytics-and-ai-services","url":"https://findausecase.com/use-cases/engie-impact-identifies-risk-more-accurately-using-azure-analytics-and-ai-services","title":"ENGIE Impact identifies risk more accurately using Azure Analytics and AI Services","description":"Sustainability consultancy ENGIE Impact adopted Azure AI Foundry, Azure Databricks and Microsoft 365 Copilot to process data from 31,000 vendors across more than 600,000 sites and $1.8 million invoices monthly, running daily machine learning predictions that improved account risk identification by 13x over its previous process.","company":"ENGIE Impact","industry":"Energy","country":"United States","aiCapabilities":["Generative AI","Conversational AI","Agentic AI"],"businessFunctions":["Human Resources","Risk & Fraud"],"technology":["Azure AI Foundry","Azure Databricks","Microsoft 365 Copilot","Microsoft Sustainability Manager","Azure"],"deployment":"Public Cloud","problemStatement":"ENGIE Impact manages resource and billing data at massive scale for its sustainability consulting clients, working with 31,000 vendors across more than 600,000 global sites and processing $1.8 million invoices each month, each vendor with different rate schedules, language capabilities, and unique criteria; the sheer complexity made it hard to manage and make sense of such vast volumes of data while ensuring compliance with data regulations.","solutionApproach":"ENGIE Impact adopted Azure AI Foundry, Azure Databricks, and Microsoft 365 Copilot to automate workflows and extract insights from data, reinforced with agents that streamline business processes and reshape data workflows. Its machine learning ecosystem runs in Azure Databricks, using its data lakehouse and AI capabilities to process, manage, and store data and build ML models that run predictions daily to identify account risk, with native connectivity between Azure AI Foundry and Databricks providing a unified view of data with governance features supporting compliance with regulations such as CCPR and GDPR. Microsoft 365 Copilot was rolled out starting with a trial before broadening adoption, and HR team members are building their own agents to answer employee questions with minimal support.","businessValue":"Using its Azure Databricks machine learning ecosystem, ENGIE Impact runs predictions daily and identifies account risk better than its previous process, an improvement of 13x. Microsoft 365 Copilot is now helping every function of the business, driving efficiency across multiple teams in workflow automation, client services, and no-code innovation.","evidence":{"band":"high"},"sourceUrl":"https://www.microsoft.com/en/customers/story/25242-engie-impact-azure-ai-foundry","dates":{"publishedAt":"2026-10-07T05:46:38.437Z","publishedAtSource":"pipeline","updatedAt":"2026-10-07T05:46:38.437Z"},"license":"Open for reading and citing with a link to https://findausecase.com/use-cases/engie-impact-identifies-risk-more-accurately-using-azure-analytics-and-ai-services. Bulk republication requires permission."}