NTT Data, a global IT services firm with 190,000 employees across more than 50 countries and $30 billion in annual revenue, said on June 25 that it has partnered with AI coding platform Cursor. The partnership will deploy Cursor Enterprise across priority engineering teams worldwide and integrate AI agents into the company's software engineering and delivery model-a move that expands its AI coding tool strategy beyond its early adoption of GitHub Copilot in 2024.
What Cursor Enterprise brings to NTT Data's engineers
The tools support application modernisation, software development, cloud transformation, and AI initiatives. Governance features include organization-wide privacy mode, single sign-on, centralized administration, granular agent controls, and audit-ready policy enforcement. These capabilities aim to give large teams a controlled environment for coding with AI assistants while meeting enterprise compliance requirements.
Rollout and the Center of Excellence
NTT Data plans to expand the rollout as adoption grows and will set up a Cursor Center of Excellence. The company serves 75% of the Fortune Global 100, and the partnership reflects a push to embed AI more deeply into its delivery model.
Building on an existing AI coding toolkit
The Cursor partnership follows NTT Data's earlier use of GitHub Copilot. By adding Cursor Enterprise and its AI agents, the company is assembling a broader set of AI-assisted development tools, giving teams the flexibility to choose the platform that fits different project needs. This approach aligns with a growing trend in AI for IT & Development, where enterprises evaluate multiple coding assistants instead of standardizing on a single vendor.
Why this matters for IT and development professionals
For teams that work in large, regulated environments, the partnership shows how AI coding tools are moving beyond individual productivity boosts to enterprise-wide deployment with built-in governance. It also signals that the market is shifting toward multi-tool strategies-engineers and architects should expect to evaluate and integrate more than one AI assistant as part of their dev toolchain.
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