NTT Data: The Smart AI Agent Ecosystem for Enterprises

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NTT Data launches a Smart AI Agent Ecosystem for enterprise clients | Credit: Getty
NTT Data unveils patented solution to transform legacy bots into autonomous agents while establishing an OpenAI Centre of Excellence

AI is well into its next evolution phase as autonomous AI agents gain traction in enterprise environments.

However, since these agents are an advancement beyond basic automation and early Gen AI systems – organisations now face the challenge of integrating these technologies into legacy systems while maintaining governance frameworks that ensure security and compliance.

Yet despite these challenges, the technical complexity of building effective agent ecosystems has created a market opportunity for established technology consultancies to bridge implementation gaps.

Now, NTT Data, has introduced an enterprise-grade Smart AI Agent Ecosystem, offering industry-specific solutions to transform business operations, including a patented plug-in solution that converts legacy automation bots into autonomous intelligent agents.

The company has deployed hundreds of Smart AI Agent instances to support complex processes and decision-making for clients – these agents operating across industries including healthcare, automotive manufacturing, finance, supply chain and marketing.

What is the Smart AI Agent Ecosystem?

NTT Data’s Smart AI Agent Ecosystem includes managed agentic services to help clients build, adopt and scale solutions – featuring solutions with embedded agents offering specific outcomes for industries and horizontal functions.

Smart AI Agent Ecosystem components include:
  • Managed agentic services
  • Solutions with embedded Smart AI Agents
  • Additional Smart AI Agents
  • Smart AI Agent platform
  • AI-ready infrastructure
  • Alliances
  • Responsible by design

A Smart AI Agent platform incorporates integrated tools and access to a marketplace with additional agents, with the infrastructure supporting both public and private cloud deployments with security governance built in.

NTT Data’s Smart AI Agent applications spanning multiple sectors 

The rapid evolution of AI presents both immense opportunities and challenges for businesses – and NTT Data are demonstrating the former.

President and Chief Executive Officer of NTT Data, Yutaka Sasaki | Credit: NTT Data

“At NTT Data, we have developed the comprehensive capabilities needed to guide our clients through these transformative times and empower them to shape their future with the power of AI,” says Yutaka Sasaki, President and CEO of NTT Data

Healthcare
In healthcare, current Smart AI Agents classify, prioritise and summarise insurance appeals while making decisions about medical necessity – and NTT Data’s roadmap includes agents specialising in early interventions, medication compliance and fraud prevention.

Automotive manufacturing
For automotive manufacturing, the agents analyse regulatory warning letters and citations – and development is underway for agents that specialise in root-cause analysis of defects and initiate corrective actions, recalls or compliance reviews.

Finance
Meanwhile, financial institutions are using the agentic AI solutions for client validation requirements, including Know Your Customer processes and fraud detection capabilities that reduce transaction vulnerabilities.

Supply chain and logistics
In the supply chain sector, operations benefit from the  agents that help clients select AI startup partners while building prototypes to integrate with purchasing workflows as the technology monitors adoption, performance and return on investment.

Marketing
Furthermore, marketing applications include multi-agent systems that integrate with cloud platforms to analyse user profiles and build psychographic profiles for personalised advertising recommendations.

CEO of NTT Data, Abhijit Dubey | Credit: NTT Data

“Agentic AI is the next transformative wave that will impact every sector, far more than what we have seen with Gen AI so far,” says Abhijit Dubey, CEO of NTT Data.

“It’s not just about boosting creativity or productivity. It’s about unlocking new capabilities that can take initiative, make decisions and collaborate with humans in entirely new ways.”

NTT Data’s partnerships and solutions

NTT Data also recently announced a strategic collaboration with OpenAI, including establishing an OpenAI Centre of Excellence to accelerate development of new Gen AI services powered by OpenAI APIs.

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The company has additionally formed alliances with technology startups including Rafay Systems, which provides a platform supporting delivery of scalable

AI infrastructure as a service – which enables enterprises to streamline Gen AI adoption and reduce operational complexity.

Another partnership with Kore.ai integrates large language models (LLMs) to enhance NTT Data's Digital Workplace Services.

This Gen AI powered automation enables improved service desk operations and personalised support services.

Furthermore, the company’s Agentic AI Services for Hyperscaler AI Technologies offers cloud-managed services that leverage major cloud providers' AI technologies – allowing organisations to build, manage and orchestrate multi-agent workflows across multiple platforms.

Solutions
Now, NTT Data's approach enables clients to work across the agentic AI spectrum by making tools available across cloud platforms from Microsoft Azure, Amazon Web Services (AWS) and Google Cloud Platform.

The patented solution that transforms legacy bots into intelligent agents addresses companies constrained by technological debt.

Millions of Robotic Process Automation (RPA) bots — software that performs repetitive rules-based tasks — have been deployed by businesses worldwide.

The new plug-in solution transforms these bots into intelligent agents while maintaining security and privacy controls.

“We’re not just watching this future unfold – we’re driving it,” says Abhijit.

“At NTT Data, we’re delivering clients real, measurable impact from AI solutions already and this patented, transformative plug-in is just one more proof point of what’s possible when innovation meets execution.”


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