NTT DATA and Google Cloud have expanded their collaboration to help large enterprises bring intelligent agentic AI from pilots to real production deployments. The agreement, announced on June 9, 2026, by NTT DATA Japan, combines Gemini Enterprise with NTT DATA’s consulting, deployment, adoption, and operational management services, with a very specific goal: to make AI an integrated capability within business processes, not just a collection of isolated proofs.
This alliance comes at a time when many organizations have already experimented with generative AI tools but still face challenges in scaling use cases with security, governance, measurable ROI, and internal adoption. NTT DATA and Google Cloud’s promise is to create a more industrialized path for deploying AI agents across banking, insurance, manufacturing, retail, marketing, procurement, finance, cloud migration, and software development.
A global Gemini Enterprise practice with 5,000 experts
NTT DATA will establish a dedicated global practice for Gemini Enterprise, supported by joint planning, technical training, certifications, engineering support, and coordinated go-to-market investments. The company aims to certify 5,000 Gemini Enterprise experts worldwide.
The plan goes beyond just training consultants. NTT DATA and Google Cloud intend to co-innovate and deploy up to 500 AI agents for horizontal and sector-specific use cases. The goal is to build a reusable library of agents and accelerators to reduce deployment time and facilitate knowledge sharing among clients and industries.
The model will also rely on engineering teams deployed directly alongside clients. These “forward-deployed engineers” will work with sector experts to design, prototype, produce, and scale AI solutions within complex enterprise environments. This approach differs significantly from merely selling model access; it resembles a global agent factory, offering platform, engineering, consulting, and managed operations.
| Alliance Element | What It Offers |
|---|---|
| Gemini Enterprise | Google Cloud platform for developing and operating enterprise AI agents |
| NTT DATA Global Practice | Consulting, deployment, adoption, and managed services |
| 5,000 certified experts | Global capacity to support large-scale deployments |
| Up to 500 AI agents | Reusable catalog for horizontal processes and sector-specific use cases |
| On-site engineering teams | Technical teams integrated with organizations to reduce adoption time |
| Sovereign and secure AI | Support for data residency, compliance, and regulated deployments |
| Managed services | Operation, support, and evolution of solutions in production |
From experimentation to critical processes
The core message is clear: the enterprise AI market has entered a more demanding phase. Demonstrating that a model can answer questions, summarize documents, or generate text is no longer enough. Companies want to redesign entire processes, connect AI with their internal data, manage risks, measure results, and ensure teams use the new tools daily.
NTT DATA talks about “reinventing” processes, operational models, and customer experiences through agentic AI. In practice, this could mean agents to automate back-office tasks, support financial operations, improve customer service, accelerate software development, optimize marketing campaigns, assist in procurement, review documentation, or coordinate workflows between enterprise applications.
The challenge is that these agents don’t operate in a vacuum. They require access to enterprise data, permissions, integrations with legacy systems, identity control, traceability, human oversight, security policies, and regulatory compliance. That’s why the agreement emphasizes governance, security, compliance, and responsible AI use.
The collaboration also introduces a sovereign perspective. NTT DATA affirms it will support AI deployments that meet data residency, regulatory, and compliance requirements, leveraging Google Cloud’s capabilities along with its expertise in data centers and managed services. For sectors like banking, insurance, public administration, healthcare, industry, or telecommunications, this aspect will become increasingly important.
A solution to the adoption bottleneck
The announcement includes a figure that helps contextualize the situation. A recent survey of NTT DATA clients found that 99% believe AI is driving increased cloud investment. At the same time, 88% feel that current levels of cloud investment threaten AI initiatives, cloud-native development, and modernization efforts.
This contradiction aptly summarizes the market’s current state. Companies desire more AI, but many still lack a sufficiently cloud-ready data and modernization foundation. Agentic AI increases this pressure because it requires scalable infrastructure, connected applications, governed data, and an architecture capable of supporting continuous automation.
Google Cloud provides the platform, Gemini Enterprise, and AI and data capabilities. NTT DATA offers global delivery scale, sector expertise, managed services, application modernization, and digital infrastructure experience. For Google, this agreement broadens its reach into large accounts with a global integrator partner. For NTT DATA, it strengthens its position as a key player in enterprise AI services.
The commitment to 500 reusable agents also addresses efficiency needs. Starting from scratch for each client makes adoption slow and costly. Having patterns, accelerators, and prebuilt agents for common processes can make deployments more repeatable. The challenge is balancing reuse and customization, since critical processes are not identical across companies, even within the same sector.
The new battleground is execution
The partnership between NTT DATA and Google Cloud comes shortly after similar moves in the market, such as the creation of a Google Cloud practice by IBM Consulting. The pattern repeats: major cloud providers are strengthening alliances with consultancies and integrators because the next phase of AI isn’t just about more powerful models, but about the ability to deploy them into production.
This shifts the conversation. In 2023 and 2024, the focus was on the models. In 2025, on copilots. By 2026, the question is increasingly about who can deploy agents safely, measurably, and governably in real business processes. This is where global integrators, managed services, certified practices, and industry-specific agent catalogs come into play.
The opportunity is significant, but so is the risk. AI agents can act on sensitive processes, generate decisions, query systems, automate tasks, and impact clients or employees. Without clear controls, they may create security, compliance, or operational quality issues. That’s why the promise of “AI in production” must be accompanied by observability, governance, continuous evaluation, cost management, and defined responsibility.
NTT DATA and Google Cloud aim to occupy that space: AI that stops being a demonstration and starts becoming part of a company’s day-to-day operations. Their success will depend less on the number of agents announced and more on how many of them address real problems, integrate seamlessly without disrupting existing processes, and generate measurable value over months or years.
Frequently Asked Questions
What did NTT DATA and Google Cloud announce?
They expanded their collaboration to help companies move from AI pilots to production deployments with Gemini Enterprise, consulting, engineering, adoption, and managed services.
How many experts will NTT DATA certify in Gemini Enterprise?
NTT DATA aims to certify 5,000 experts in Gemini Enterprise globally.
What does co-innovating up to 500 AI agents mean?
It means developing a catalog of reusable agents for horizontal and sector-specific enterprise use cases, aiming to accelerate deployments and reduce implementation risks.
Why is this relevant for regulated sectors?
Because the partnership includes support for sovereign, secure AI deployments that meet data residency, regulation, and compliance requirements—crucial in banking, insurance, industry, public administration, and telecommunications.