{"slug":"ntt-data-transforms-its-enterprise-with-agentic-ai-in-microsoft-fabric-azure-ai-foundry","url":"https://findausecase.com/use-cases/ntt-data-transforms-its-enterprise-with-agentic-ai-in-microsoft-fabric-azure-ai-foundry","title":"NTT DATA Transforms Its Enterprise with Agentic AI in Microsoft Fabric, Azure AI Foundry","description":"NTT DATA adopted Microsoft Fabric data agents integrated with Azure AI Agent Service to build conversational, autonomous AI agents that let employees query enterprise data in natural language and get role-specific insights and recommended actions. Early deployments included a suite of HR-focused agents analyzing staffing, chargeability and productivity data, and agents monitoring back-office KPIs. The AI-driven platform delivered at least 50% faster time to market for new data solutions and improved productivity across HR, sales and operations functions.","company":"NTT DATA","industry":"Technology & Software","country":"Japan","aiCapabilities":["Agentic AI","Conversational AI"],"businessFunctions":["Human Resources","Sales","Marketing"],"technology":["Microsoft Fabric","Azure AI Agent Service","Azure AI Foundry","OneLake"],"deployment":"Public Cloud","problemStatement":"NTT DATA wanted insights from its deep and widespread enterprise data faster than existing reporting, visualization, automation and RPA tools could deliver. Legacy dashboards were too rigid and static to provide actionable insights, and the company wanted to shrink time to market for solution development so functions like HR, sales, and marketing could mine data at speed and scale.","solutionApproach":"NTT DATA turned to Microsoft Fabric data agents and Azure AI Agent Service (part of Azure AI Foundry) to build conversational, autonomous agents that let employees query enterprise data in natural language and receive insights and recommended next steps tailored to their role. One of the earliest deployments was a suite of HR-focused agents analyzing workforce labor data to surface patterns in staffing, chargeability, and productivity, alongside back-office agents monitoring KPIs and operational inefficiencies. Integrating Azure AI Agent Service with Fabric data agents let the agents reason over structured and unstructured data and plan and execute tasks, moving from passive reporting to proactive automation. NTT DATA is also developing an AI-powered sales coach, a multi-agent tool that prepares reps for meetings and drafts proposals, and is exploring further multi-agent frameworks such as Semantic Kernel and AutoGen.","businessValue":"Time to market for new data solutions is at least 50% faster, and the platform improved productivity across HR, sales, and operations functions, with higher productivity, better alignment, and stronger return on data investments.","evidence":{"band":"high"},"sourceUrl":"https://www.microsoft.com/en/customers/story/23654-ntt-data-azure-ai-agent-service","dates":{"publishedAt":"2026-09-20T05:47:10.671Z","publishedAtSource":"pipeline","updatedAt":"2026-09-20T05:47:10.671Z"},"license":"Open for reading and citing with a link to https://findausecase.com/use-cases/ntt-data-transforms-its-enterprise-with-agentic-ai-in-microsoft-fabric-azure-ai-foundry. Bulk republication requires permission."}