What challenges did NTT DATA face before AI implementation?

Businesses across multiple sectors face rising demands for intelligent automation to transform operations and decision-making. Legacy RPA bots require modernization for scalability, autonomous function, and integration with next-generation AI. Industry clients struggle to manage complex compliance, fraud detection, document processing, and supply chain issues efficiently. Increasing pressure to deliver outcomes with measurable impact across diverse workflows and technology ecosystems.

What was the impact of the AI solution?

Significant automation of complex processes: e.g., claims classification in healthcare, fraud detection in finance, compliance in manufacturing. Clients report improved productivity, security, compliance, and measurable ROI. Flexible cross-cloud operation (Azure, AWS, GCP) enables adoption in a broad array of business environments.

Source

Microsoft GCPProductionEvidence: Medium50/100

NTT DATA deploys Smart AI Agent Ecosystem for Industry Automation

Use case typeCompliance automationUpdated Jun 13, 2026

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.

Organization: NTT DATA
Industry: Tech & Comms
Location: Japan
Published: January 2025

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: NTT DATA, Hyster-Yale Materials Handling, Inc.
Provider: Microsoft, AWS, GCP
Maturity: Production
Linked source: us.nttdata.com

The solution supports hundreds of deployed AI agents handling functions from insurance appeals in healthcare to fraud detection in finance and compliance in manufacturing

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 5

1Autonomous Claims Processing in Healthcare
2Compliance Automation in Automotive Manufacturing
3Fraud Detection in Financial Transactions

Businesses across multiple sectors face rising demands for intelligent automation to transform operations and decision-making.
Legacy RPA bots require modernization for scalability, autonomous function, and integration with next-generation AI.
Industry clients struggle to manage complex compliance, fraud detection, document processing, and supply chain issues efficiently.
Increasing pressure to deliver outcomes with measurable impact across diverse workflows and technology ecosystems.

NTT DATA designed and deployed a Smart AI Agent Ecosystem built on Azure AI Agent Service and Azure AI Foundry.
Introduced a patented plug-in to transform legacy RPA bots into autonomous intelligent agents.
Developed multi-agent models tailored to industry challenges in healthcare, automotive, finance, logistics, and marketing.
Established strategic alliances (OpenAI, Rafay Systems, Kore.ai) for richer agentic offerings, leveraging their platforms for large-scale, secure AI deployment and digital workplace automation.
Offered managed agentic services: advisory, assessments, implementation, orchestration, and cross-cloud support.

Technologies

Azure AI Agent Service Azure AI Foundry Azure

Significant automation of complex processes: e.g., claims classification in healthcare, fraud detection in finance, compliance in manufacturing.
Clients report improved productivity, security, compliance, and measurable ROI.
Flexible cross-cloud operation (Azure, AWS, GCP) enables adoption in a broad array of business environments.

Architecture

The Smart AI Agent Ecosystem is architected with Azure AI Agent Service and Azure AI Foundry as the core platforms, enabling orchestration and deployment of autonomous agents across diverse cloud environments (Azure, AWS, GCP). A patented plug-in transforms legacy RPA bots into intelligent agents. Solutions integrate with hyperscaler and startup platforms (OpenAI, Rafay Systems, Kore.ai), featuring managed agentic services for deployment, monitoring, and cross-vendor orchestration. Clients access a marketplace of agents and models, with the architecture ensuring secure, scalable, and compliant agent management.

Sources & evidence2

Evidence: Medium50/100Evidence strength