NTT DATA announced an expanded collaboration with Google Cloud to help enterprises move agentic AI projects from pilots into production, including a Gemini Enterprise practice, a global factory model, plans for up to 500 AI agents, and a target of 5,000 certified experts.
NTT DATA announced an expanded collaboration with Google Cloud aimed at helping enterprise customers move AI initiatives from pilots into production using Google Cloud’s Gemini Enterprise.
According to NTT DATA’s June 2026 press release, the companies plan to use a global factory model to design, build, deploy, and scale AI agents across enterprise workflows. Business Wire reported that the effort includes a Gemini Enterprise practice targeting 5,000 certified experts and the development of up to 500 AI agents.
The announcement reflects a broader shift in enterprise AI from experimentation toward operational deployment. Computer Weekly described the collaboration as focused on moving organizations from AI experimentation to scaled Gemini Enterprise agentic AI deployments.
NTT DATA said the expanded collaboration centers on Gemini Enterprise, Google Cloud’s platform for building and deploying AI agents in business environments. The company said the work will include a global factory model intended to standardize how AI agents are designed, built, deployed, and scaled.
The companies are positioning the effort around enterprise workflows rather than isolated demonstrations. NTT DATA’s announcement said the initiative could scale up to 500 AI agents across business processes. Business Wire also reported the same target, along with the creation of a Gemini Enterprise practice designed to train and certify thousands of specialists.
Those details suggest the collaboration is not only a technology integration effort but also a services and delivery expansion. NTT DATA is presenting the partnership as a way to combine Google Cloud’s Gemini Enterprise capabilities with NTT DATA’s consulting, implementation, and managed services expertise.
A notable part of the announcement is the emphasis on skills and delivery capacity. Business Wire reported that NTT DATA is targeting 5,000 certified experts as part of the Gemini Enterprise practice.
That target matters because many enterprise AI projects face challenges after the proof-of-concept stage, including integration with existing systems, governance, security, workflow design, and change management. While the provided announcements do not give customer deployment numbers or financial terms, they frame the expanded collaboration as a response to the difficulty of taking AI systems beyond pilots.
NTT DATA’s press release described the collaboration as a way to accelerate enterprise AI “from pilots to production.” Computer Weekly similarly reported that the announcement focused on production-scale Gemini Enterprise deployments.
The available source materials describe the structure and goals of the collaboration, but they do not provide detailed timelines for when all 500 agents would be delivered, which industries will receive priority, or how customers will measure outcomes from the deployments.
The announcements also do not specify whether the planned AI agents will be prebuilt, custom-built for each customer, or a mix of reusable templates and tailored implementations. The references to a global factory model and enterprise workflows indicate a repeatable approach, but the public materials summarized here do not provide technical details on architecture, model governance, or customer data controls.
The expanded NTT DATA and Google Cloud collaboration underscores how large technology services providers are organizing around agentic AI as a production workload. Instead of focusing only on model access or isolated prototypes, the announcement emphasizes certified personnel, deployment methods, and workflow-scale implementation.
For enterprise buyers, the practical significance will depend on execution: whether NTT DATA and Google Cloud can turn Gemini Enterprise-based AI agents into reliable systems that fit existing business processes. Based on NTT DATA’s announcement, Business Wire’s report, and Computer Weekly’s coverage, the collaboration is designed to address exactly that transition from experimentation to production.
According to NTT DATA’s June 2026 press release, the companies plan to use a global factory model to design, build, deploy, and scale AI agents across enterprise workflows.
Business Wire reported that the effort includes a Gemini Enterprise practice targeting 5,000 certified experts and the development of up to 500 AI agents.
The announcement reflects a broader shift in enterprise AI from experimentation toward operational deployment.
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