NTT DATA
7 documented AI deployments at NTT DATA, across 4 industries. Each one links to the public source it was taken from.
Toyosu, Japan · Founded 1988 · nttdata.com · WikipediaSource: Wikidata, 2026-11-01
Public AI record
NTT DATA ranks 4th of 5 tech & comms companies on the hub with a public AI record score of 55. It is ahead of 96% of companies on sophistication, but behind most on evidence. AI development platform is common among peers but not yet documented at NTT DATA.
Nearest peers: Vodafone 2nd, 67 · Lenovo 3rd, 57 · Deutsche Telekom 5th, 47
- BreadthHow many different kinds of use case, across how many business areas89
- DepthShare running in production or at scale rather than pilots35
- SophisticationAgentic share and innovativeness rating96
- EvidenceShare backed by the company's own sources and measured results24
- MomentumHow recent the cases are; older cases count less31
How the score works
First documented case Nov 2024, latest May 2025. No new deployment documented since May 2025. Cloud providers named: AWS, GCP, Microsoft.
Compared with peers
Against 14 other tech & comms companies on the hub.
What peers document
- Customer service automation7 of 14 peers · here too50%
- AI development platform4 of 14 peers29%
- Automotive operations automation2 of 14 peers14%
- Contact center modernization2 of 14 peers14%
Gaps against the industry
- AI development platform: 29% of peers, not documented at NTT DATA yet
Signature use cases
No peer on the hub documents compliance automation or decision support.
Stack and approach vs peers
- Peer cases name Microsoft 64%, GCP 26%, AWS 14%.
- AI agents: 86% of NTT DATA's cases vs 52% for peers.
- Cases from the last 12 months: 0% vs 39% for peers.
Deployments
7 deployments at NTT DATA, newest first.
- 19 May 2025Tech & CommsUnited States
Global Enterprises Streamline Operations and Productivity with AI Agents
Stanford Health Care · Workflow orchestration · Microsoft
At Microsoft Build 2025, Microsoft unveiled significant advancements in agentic AI by demonstrating real-world implementations with global organizations. More than 230,000 organizations have built AI agents and automations using Copilot Studio and Azure AI Foundry. Companies like Fujitsu and NTT DATA leverage Azure AI Foundry for sales lead prioritization and proposal generation, while Stanford Health Care uses Microsoft healthcare agent orchestrator to reduce administrative burdens and accelerate tumor board workflows. Microsoft Digital rolled out Copilot to over 300,000 internal users, showing phased deployment strategies from simple retrieval bots to autonomous workflow automation. Key challenges addressed include enterprise data quality, governance, and responsible AI concerns. The showcased solutions demonstrate measurable productivity improvements, enhanced enterprise processes, robust security, and scalability, supported by Microsoft technologies including Azure AI, Copilot Studio, Microsoft 365 Copilot, Entra Agent ID, and Microsoft Purview.
Multi-agentProduction
- 14 Apr 2025Tech & CommsJapan
NTT DATA's Agentic AI Implementation with Microsoft Fabric
NTT DATA · Workflow automation · Microsoft
NTT DATA implemented custom Microsoft Fabric agents to derive insights from HR and back-office data, optimizing organizational operations.
AgenticProduction
−40%quantified impact - 6 Feb 2025HealthcareUnited States
YoungWilliams, NTT DATA, and Fujitsu automate business processes with AI agents
YoungWilliams · Workflow automation · Microsoft
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.
Multi-agentProduction
- 1 Jan 2025Tech & CommsJapan
NTT DATA deploys Smart AI Agent Ecosystem for Industry Automation
NTT DATA · Compliance automation · Microsoft + AWS
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.
Multi-agentProduction
- 25 Nov 2024ManufacturingJapan
Microsoft Azure AI Agents for Customer Service and Logistics Automation by NTT DATA
NTT DATA · Workflow automation · Microsoft
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.
AgenticProduction
What it builds
Workflow automation is the most common pattern in these deployments: 3.
Cloud providers named
Microsoft is named in 7 of these deployments.
- Microsoft100% of these7
- AWS14% of these1
- GCP14% of these1