MicrosoftProductionEvidence: Medium50/100

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.

Organization
NTT DATA
Location
Global
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
Customer
NTT DATA
Provider
Microsoft
Maturity
Production
Linked source
uk.nttdata.com

Key use cases include customer service transformation, development process automation, and sector-specific operational efficiency improvements

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 5

  • 1AI-powered 24/7 customer service automation
  • 2Automated compliance and route planning in logistics
  • 3Coding assistant and software project automation
  • Deployed Azure AI Agents built in Azure AI Studio, integrating GenAI for event-driven automation and RAG-based information access.
  • Automated customer service, coding, testing, IT ticketing, compliance documentation, and project/resource management.
  • Developed conversational interfaces and integrated agents into enterprise systems for real-time, context-rich responses.
  • Scaled solutions using NTT DATA’s Industry Cloud Platform and over 500 prebuilt modules.
  • Enabled client customization and expansion via Copilot Studio and ongoing support for secure, ethical operations.
Freed up employees to focus on higher-value, creative, and strategic activities.
Architecture

Azure AI Agents built and orchestrated in Azure AI Studio utilize retrieval-augmented generation to access knowledge bases and drive decision-making. Agents are integrated with corporate and operational data sources, enabling event-driven task automation for customer service, project management, coding, compliance, logistics, finance, and healthcare. The system includes conversational interfaces deployed via Copilot Studio, with ongoing monitoring and integration support from NTT DATA. Industry Cloud Platform provides modular scalable infrastructure and over 500 prebuilt components.

Sources & evidence3
Evidence: Medium50/100Evidence strength
  • Customer explicitly identified
  • Deployment status explicitly supported
  • Technical implementation details available
  • Multiple corroborating sources available
Type: Blog PostPublisher: uk.nttdata.comEvidence: VendorConfidence: Medium

AI-generated summary. Verify important details with the linked sources before relying on this case.

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