NTT Data is making significant strides in the integration of Agentic AI, positioning itself as a leader in the next wave of AI-driven business transformation. Agentic AI, which goes beyond traditional automation, empowers AI systems to independently analyze, decide, and act to drive efficiency, innovation, and growth. NTT Data's approach focuses on delivering assured outcomes that enhance performance, improve security and cyber resilience, and foster innovation for profitable growth and better stakeholder experiences.
The company's strategy revolves around a comprehensive Smart AI Agent Ecosystem designed to offer industry-specific solutions. This ecosystem includes managed agentic services to help clients build, adopt, and scale transformative solutions. It also features solutions with embedded Smart AI Agents that provide assured outcomes for specific industries and horizontal functions, with a roadmap for continuous development of new agents to address more complex use cases.
NTT Data's Smart AI Agents are already deployed in various industries. In healthcare, for instance, they are autonomously classifying, prioritizing, and summarizing insurance appeals, as well as making decisions about medical necessity. Future applications in healthcare include agents specializing in early interventions, medication compliance, payer validation, and preventing fraud, waste, and abuse. In automotive manufacturing, agents are analyzing regulatory warning letters and citations. These deployments demonstrate the practical application and tangible benefits of Agentic AI in real-world scenarios.
A key component of NTT Data's Agentic AI strategy is its Agentic AI Services for Hyperscaler AI Technologies. This suite of cloud-managed services assists organizations in harnessing the full potential of Agentic AI by leveraging hyperscaler AI technologies. NTT Data is rapidly scaling these services to deliver greater value as organizations mature in their adoption of Agentic AI and begin to use multi-AI agent models. By leveraging platforms like Azure AI Agent Service on Azure AI Foundry, NTT Data can build, manage, and orchestrate multi-agent workflows across multiple platforms, simplifying complex deployments. The company also ensures that any agent it builds can be easily transferred to a client's cloud environment across Microsoft Azure, AWS, and Google Cloud Platform.
NTT Data is also addressing the challenge of integrating new AI technologies into legacy systems. It has unveiled a patented solution that transforms legacy bots into autonomous agents. This plug-in capability is particularly valuable for organizations constrained by technological debt, allowing them to leverage their existing Robotic Process Automation (RPA) bots as intelligent agents.
The company recognizes the importance of responsible AI implementation. It is committed to responsible and sustainable AI, reinforcing AI governance, ethics, and innovation. This commitment is reflected in its focus on security, compliance, and continuous optimization in its Agentic AI services. CEO of NTT DATA, Inc. Abhijit Dubey, emphasizes that Agentic AI is the next transformative wave, impacting every sector far more than generative AI. He notes that it's not just about boosting creativity or productivity but about unlocking new capabilities that can take initiative, make decisions, and collaborate with humans in entirely new ways.
NTT Data's approach to Agentic AI also involves strategic alliances and partnerships. It has a strategic collaboration agreement with OpenAI to drive innovation in generative AI and is establishing an OpenAI Center of Excellence to accelerate the development and deployment of new generative AI services. These services will be tailored to specific industries and business functions and introduced globally to deliver enhanced value to clients. The company's partnerships with technology startups like Rafay Systems also enable the delivery of scalable AI infrastructure as a service, simplifying GenAI adoption and reducing operational complexity.
NTT Data's advancements in Agentic AI are expected to have a significant impact on businesses. Agentic AI can automate complex workflows, reduce manual tasks, and improve accuracy, leading to significant cost savings. It also enables businesses to streamline decision-making processes and respond to changing market conditions in real time. The rise of Agentic AI is also accelerating the need to reskill and upskill the global workforce, with new roles and competencies emerging in areas such as AI collaboration, technical literacy, and ethical understanding.
