NTT DATA unveils Smart AI Agent Ecosystem for business growth

NTT DATA has announced the launch of its enterprise-grade Smart AI Agent Ecosystem, which focuses on helping clients transform their business operations through intelligent automation and strategic alliances.

The new offering features industry-specific solutions and a patented plug-in that enables existing Robotic Process Automation (RPA) bots to function as autonomous intelligent agents. This development comes alongside an expanded alliance network as NTT DATA seeks to deliver what it terms "assured outcomes" to clients across multiple sectors.

"The rapid evolution of AI presents both immense opportunities and challenges for businesses. 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," Yutaka Sasaki, President and Chief Executive Officer, NTT DATA Group, said.

NTT DATA has already deployed hundreds of Smart AI Agent instances to support complex processes and decision-making across healthcare, automotive manufacturing, finance, supply chain, logistics, and marketing. The company intends to continue expanding its AI agent offerings, addressing more advanced use cases and broadening the scope of its solutions.

In healthcare, current AI agents are used for tasks including autonomously classifying, prioritising, and summarising insurance appeals and making decisions regarding medical necessity. Future plans include agents focused on early interventions, medication compliance, payer validation, and fraud prevention.

Within the automotive manufacturing sector, agents are currently analysing regulatory warning letters and citations, while future agents aim to carry out root-cause analysis of defects, initiate recalls or corrective actions, and conduct compliance reviews.

For finance, agentic AI solutions support banks and partners in meeting client validation requirements such as Know Your Customer (KYC), providing fraud detection, and minimising payment vulnerabilities.

In supply chain and logistics, agents contribute to partner selection, ensure secure business with AI start-ups, facilitate the deployment of AI pilot projects, and monitor performance and return on investment. NTT DATA is developing domain-specific agents for procurement management as part of its ongoing roadmap.

Marketing applications involve multi-agent systems that connect to hyperscaler platforms, autonomously build user and psychographic profiles, and generate targeted ad recommendations. According to the company, these systems adapt over time and have supported increased sales and revenue in multiple industries.

"Agentic AI is the next transformative wave that will impact every sector, far more than what we have seen with Generative AI so far. 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. With our deep expertise in responsible innovation, trailblazing alliances, and visionary clients, we're excited to lead this future — building the foundation for a reimagined human-machine hybrid workplace and a bold new business landscape," Abhijit Dubey, Chief Executive Officer of NTT DATA, Inc., said.

The Smart AI Agent Ecosystem is structured to support clients through every stage of AI adoption. It offers managed agentic services, embedded AI solutions tailored to industries and shared business functions, and a platform featuring integrated tools, utilities, accelerators, best practices, and a marketplace for agents and models.

The ecosystem's infrastructure spans public and private cloud, network, and cybersecurity services. The company underlines that these services have been developed with a focus on responsible AI, emphasising security, governance, and compliance throughout the offering.

"We've been leveraging NTT DATA's end-to-end Agentic AI Services for Hyperscaler AI Technologies to explore both pro-code and low-code agentic AI experiences. With their step-by-step advisory approach and outcome-focused strategy, we're now exploring powerful multi-agent models and identifying new use cases to align with our business objectives and to reimagine how we operate," Pankaj Shah, Vice President, Chief Information and Digital Officer at Hyster-Yale Materials Handling, Inc., commented.

NTT DATA recently formalised a strategic collaboration with OpenAI, with plans to establish an OpenAI Centre of Excellence (CoE) to accelerate the rollout of generative AI services using OpenAI's APIs. These services are being developed for industry-specific and functional applications and will be made available globally.

The company's ecosystem supports alliances with both large technology providers and start-ups. Notable collaborations include Rafay Systems, whose platform supports NTT DATA's delivery of developer-friendly, scalable Platform-as-a-Service AI infrastructure, and Kore.ai, whose agent platform is integrated into NTT DATA's Digital Workplace Services for enhanced service desk operations and personalised user support.

The Agentic AI Services for Hyperscaler AI Technologies provide cloud-managed services that help organisations leverage AI capabilities across platforms such as Microsoft Azure, AWS, and Google Cloud. NTT DATA's approach is designed to simplify multi-agent workflows, with the flexibility for transferability between cloud environments.

NTT DATA's newly-patented plug-in solution is specifically intended to support organisations wishing to update their automation capabilities without being hindered by technological debt. The solution enables RPA bots to operate as intelligent agents under existing governance and security policies.

"AI is causing a massive shift similar to the early days of the internet — reshaping how we work, solve problems and create value. We're not just watching this future unfold — we're driving it. 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," Abhijit Dubey added.