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NTT DATA Launches AI Agent That Lets Enterprises Talk to Their Own Infrastructure

Rebecca PY 1 min ago

NTT DATA has unveiled its Software Defined Infrastructure Services Agent, a multi-agent AI system that enables enterprises to manage complex, multivendor infrastructure through natural language for the first time. The conversational agentic platform marks a fundamental shift in how organisations operate, optimise, and govern AI infrastructure at scale.


MALAYSIA, 25 MAY 2026 – NTT DATA, a global leader in AI, digital business and technology services, has introduced a new agentic capability that could fundamentally change how enterprises interact with their own IT infrastructure. The NTT DATA Software Defined Infrastructure Services Agent is a conversational, multi-agent system embedded within the company’s existing SDI Services platform, designed to bring predictive intelligence and natural language interaction to enterprise infrastructure management.

At the heart of the system is an orchestrator agent that selectively activates specialised agents operating in the background across networking, hybrid data centre, cybersecurity, and digital workplace environments. Rather than waiting for issues to surface, the system continuously senses, reasons, and acts — delivering faster resolutions and measurable outcomes across infrastructure availability, utilisation, and business value.

What sets this launch apart is its multivendor reach. Where most Original Equipment Manufacturer AI assistants are confined to single-vendor ecosystems, the NTT DATA SDI Services Agent operates across complex, multivendor infrastructure environments, offering enterprise-grade intelligence regardless of the technology stack in place. This positions it as a more practical solution for large organisations whose infrastructure is rarely sourced from a single provider.

The platform functions as a digital twin for critical IT operational roles, enabling infrastructure teams to interact with their environments through natural language prompts and receive persona-based insights tailored to their responsibilities. For the first time, enterprises can ask questions, request diagnostics, and initiate actions across their infrastructure estate the way they would in a conversation — without needing to navigate multiple vendor portals or management consoles.

Chris Barnard, Vice President at IDC, noted that traditional infrastructure services are increasingly misaligned with the demands of an AI-driven enterprise, and described NTT DATA’s approach as one that enables infrastructure leaders to move away from conventional maintenance models and direct their focus toward outcomes at scale.

Dilip Kumar, Global Head of Infrastructure Solutions at NTT DATA, emphasised that a secure, enterprise-grade infrastructure foundation paired with a conversational agentic experience is becoming a strategic business differentiator. He described the new capability as enabling enterprises to move beyond routine operations and turn infrastructure performance into tangible, measurable results.

Critically, the system does not operate without human oversight. The SDI Services Agent reasons through live telemetry, historical context, and policy guardrails before taking safe, deterministic action — ensuring that while day-to-day operations are increasingly automated, humans remain firmly in control of decision-making.

The launch also carries a sustainability dimension. The agent incorporates environmental impact insights, helping organisations understand and optimise the carbon footprint of their infrastructure estates — an increasingly important consideration for enterprises with ESG commitments.

The move aligns with findings from NTT DATA’s own Global AI Report, which found that AI leaders are prioritising the rebuilding of core applications with embedded AI capabilities rather than settling for surface-level integrations, with 34.5% of those surveyed indicating this as their primary investment direction.

With the SDI Services Agent, NTT DATA is signalling a broader industry transition — one where infrastructure is no longer something enterprises simply maintain, but something they actively govern, converse with, and optimise through AI.

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