NTT DATA
Get email alerts
New customer deployments for NTT DATA, straight to your inbox. No account needed.
NTT DATA has 7 source-linked AI deployments documented in AIUseCaseHub, across 4 industries and 3 countries.
7
4
3
Hyperscaler mix
See whether NTT DATA's cases are powered by Microsoft, AWS, GCP, or multiple providers.
How NTT DATA builds AI
Build / Buy / Compose across this company's documented cases
7 of 7 cases classified (100%) · Compare all use-case types
Use case portfolio
Use case types at NTT DATA
Workflow automation leads with 3 of 7 documented cases; 5 distinct types appear across the visible portfolio.
Reported outcomes
1 case reports measurable results
−40%
Automation & deflection
median · 1 metric
Medians of results published in NTT DATA cases, normalized for comparability. See all benchmarks →
Evidence persistence
3 of 3 judgeable cases are still publicly referenced · 2 show the organization expanding AI use.
Durability of public evidence, not whether systems remain in production. How this is measured →
Technology snapshot
What NTT DATA uses across visible cases
AI Agents appears in 7 of 7 indexed cases; 21 named technologies are mentioned, led by Azure AI Agent Service.
Capability mix
All Use Cases (7)
Global Enterprises Streamline Operations and Productivity with AI Agents
At Microsoft Build 2025, Microsoft unveiled significant advancements in agentic AI by demonstrating real-world implementations with global organizations. More than 230,000 organiza...
NTT DATA's Agentic AI Implementation with Microsoft Fabric
NTT DATA implemented custom Microsoft Fabric agents to derive insights from HR and back-office data, optimizing organizational operations.
YoungWilliams, NTT DATA, and Fujitsu automate business processes with AI agents
This article details how organizations like YoungWilliams, NTT DATA, and Fujitsu are using Azure AI Agent Service to automate workflows and drive efficiency in a variety of industries such as healthcare, sales, energy, travel, retail, and automotive.The Azure AI Agent Service, integrated with tools like Azure AI Search, Azure Functions, and OpenAI models, enables businesses to design, customize, and deploy AI agents capable of automating and streamlining time-intensive manual processes.Fujitsu leveraged Azure AI Agent Service to build a multi-agent sales platform, using specialized agents for collaborative problem-solving with RAG, increasing productivity.YoungWilliams is using AI agents to improve healthcare service efficiency for state health and human services agencies by integrating with private, secure data sources for personalized and efficient support.NTT DATA deploys data-driven agents to gain insights on client needs and accelerate speed-to-value across sales and professional services.The platform supports integration with a variety of data sources and other AI frameworks, facilitating rapid development and secure, enterprise-ready deployment of agentic automations.Examples in the article span automation of administrative tasks in healthcare, predictive maintenance in energy, dynamic travel assistants, AI-powered analytics in consulting, and supply chain optimization in retail and automotive.The service is both code-first and portal-based, ensuring flexibility and rapid innovation for developers and business users.
NTT DATA deploys Smart AI Agent Ecosystem for Industry Automation
NTT DATA has launched a Smart AI Agent Ecosystem, leveraging Azure AI Agent Service and Azure AI Foundry, to deliver industry-specific automation solutions for clients worldwide. The platform includes a patented plug-in to convert legacy RPA bots into intelligent agents, enabling autonomous processes in sectors like healthcare, automotive manufacturing, finance, and logistics. The solution supports hundreds of deployed AI agents handling functions from insurance appeals in healthcare to fraud detection in finance and compliance in manufacturing.Strategic alliances with OpenAI and innovative startups further empower the ecosystem’s capabilities, offering access to a marketplace of agents and AI models for extended adoption across industries.The ecosystem includes advisory, readiness assessments, managed services, and multi-agent orchestration, with an emphasis on responsible AI—ensuring security, governance, and compliance. Clients like Hyster-Yale Materials Handling, Inc. have adopted the system to explore multi-agent models, aligning business operations with advanced agentic AI capabilities.The platform accommodates deployment across Microsoft Azure, AWS, and GCP. With managed agentic services and integration capabilities, NTT DATA’s offering allows rapid scaling and high agility for digital business transformation.
Microsoft Azure AI Agents for Customer Service and Logistics Automation by NTT DATA
NTT DATA describes Microsoft Azure AI Agents built in Azure AI Studio to automate customer service and logistics workflows.The agents support compliance documentation, shipment tracking, vehicle monitoring, route planning, fuel optimization, and conversational customer support.NTT DATA says the solution uses retrieval-augmented generation and over 500 prebuilt components for tailored industry deployments.
Manufacturing Leaders Transform AI Innovation and Process Automation
Microsoft Azure has launched Azure AI Foundry, a unified platform designed to accelerate the adoption, customization, and deployment of AI solutions in manufacturing and other industries. The platform provides an extensive AI model catalog, integration with Microsoft Fabric for data analytics, and Azure AI Agent Service for business process automation. Industry collaborations with Sight Machine, Rockwell Automation, Bayer, Paige.ai, NTT DATA, and others enable specialized use cases and solutions. New features include a unified AI toolchain, enhanced model benchmarking, streamlined governance, and responsible AI compliance. Azure AI Foundry supports multimodal applications, RAG solutions, and integrates with developer tools like GitHub. The advancements aim to reduce AI solution time-to-market and improve operational and business outcomes across manufacturing, healthcare, and finance.
NTT DATA streamlines business automation with AI agents
NTT DATA leverages Microsoft Azure AI Agents to automate repetitive, complex tasks across multiple sectors, including retail, banking, healthcare, logistics, and finance. The solution automates workflows like 24/7 customer support, coding assistance, project management, compliance documentation, route planning, medical diagnosis support, fraud detection, and investment risk analysis. Agents utilize retrieval-augmented generation (RAG) to connect data and provide accurate, contextually relevant responses. Key use cases include customer service transformation, development process automation, and sector-specific operational efficiency improvements. NTT DATA provides end-to-end deployment—scoping use cases, developing tailored deployment strategies, integrating Azure resources, and ongoing system support. The approach delivers cost-effective scalability, productivity gains, and operational insights by embedding AI-powered automation across enterprise functions and enhancing customer interactions and decision-making.NTT DATA’s Track and Trace Logistics Management Application showcases a practical industry use: built with Azure and GenAI, it provides logistics managers with a dashboard to monitor supply chains, prepare documents, and verify regulatory compliance. Customers benefit from less manual work and real-time data-driven decisions. The company boosts productivity by automating IT tasks and enables clients to use Copilot Studio to build their own agents and conversational interfaces for various business processes.The company’s global industry cloud platform, with over 500 prebuilt components, underpins these solutions. NTT DATA’s proven expertise as a Microsoft Azure partner is recognized in industry analyst reports. Ongoing management ensures ethical, secure operations and future scalability.By freeing human staff from routine work, NT DATA’s Azure AI agent solutions support a shift to more creative, strategic projects while reliably handling business-critical workflows around the clock.
Community
Comments
No published comments yet.
Ask the analyst
A question about NTT DATA the page doesn't answer? I read every one — the good ones get answered here.