NTT Data has announced a comprehensive enterprise-grade Smart AI Agent Ecosystem with industry-specific solutions to help clients transform their business. The company also announced a patented plug-in solution that turns legacy bots into autonomous intelligent agents, and an expanded key alliance network for providing best-fit solutions.
“The rapid evolution of AI presents both immense opportunities and challenges for businesses,” says Yutaka Sasaki, president and CEO at NTT Data Group. “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.”
NTT Data has deployed hundreds of Smart AI Agent instances in support of sophisticated processes and decision-making at clients. The company’s roadmap encompasses a continuous stream of new agents to support more complex use cases from a range of industries as well as shared functions. For example:
- Healthcare: Current agents are autonomously classifying, prioritising and summarising insurance appeals and making decisions about medical necessity among other responsibilities. The near-term roadmap includes agents that specialise in early interventions, medication compliance, payer validation, and preventing fraud, waste and abuse.
- Automotive manufacturing: Agents already are analysing regulatory warning letters and citations. The company is now developing agents that specialise in root-cause analysis of defects; initiate corrective actions, recalls or fixes; and launch compliance reviews as needed.
- Finance: Agentic AI solutions are assisting banks, partners and consumers in the continuous pursuit of client and engagement validation requirements, including Know Your Customer and other fraud detection and anti-crime capabilities, minimising transaction and payment vulnerability.
- Supply chain and logistics: Agents are helping clients select and securely do business with AI startup partners, while also building AI agent prototypes to help businesses deploy and integrate pilots with purchasing workflows and processes, and monitoring adoption, performance and return on investment. Next up are domain-specific steps including agents that intelligently manage procurement services.
- Marketing: In one of many examples, a multi-agent system integrates with a hyperscaler platform to autonomously analyse and categorise user profiles and build psychographic profiles for hyper-personalised ad recommendations. This system continuously learns and adapts, delivering boosted sales and revenue to clients in many 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,” 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. With our deep expertise in responsible innovation, trailblasing 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.”
Key components of the Smart AI Agent Ecosystem include:
- Managed agentic services that help clients build, adopt, manage and scale transformative solutions.
- Solutions with embedded Smart AI Agents that offer assured outcomes for clients, including solutions for specific industries and horizontal functions.
- Additional Smart AI Agents targeting industry and horizontal needs.
- Smart AI Agent platform that incorporates integrated tools, utilities, accelerators and best practices; and access to a marketplace with additional agents, large language models (LLMs) and small language models (SLMs).
- AI-ready infrastructure backed by services that leverage public cloud, private cloud, network and cybersecurity.
- Alliances with world-leading technology providers and world-class startups.
- Responsible by design including security, governance and compliance.