Against that backdrop, NTT DATA and Google Cloud announced a significant expansion of their partnership in June 2026. The deal is not another proof-of-concept exercise. It is a deliberate, quantified commitment to industrialize agentic AI development and move enterprises from experimentation to production-grade deployment using Google's Gemini Enterprise platform.

What Was Announced

The expanded collaboration rests on three specific, measurable commitments :

• 5,000 certified Gemini Enterprise experts. NTT DATA is establishing a dedicated global Gemini Enterprise practice with joint business planning, technical enablement, training, certifications, engineering support, and coordinated go-to-market investments .
• Up to 500 AI agents. The companies plan to co-innovate and deploy up to 500 AI agents across horizontal and industry-specific enterprise use cases, designed to serve as reusable building blocks for faster, scalable AI adoption .
• Forward-deployed engineering teams. NTT DATA AI-skilled engineers and Google Cloud engineers will work directly alongside clients to support co-innovation and production deployment .

The deal builds on an August 2025 global partnership that first brought the two companies together to accelerate AI-powered cloud innovation across sectors including banking, insurance, manufacturing, retail, healthcare, life sciences, and the public sector .

Inside the Four-Part Industrial Agent Development Model

The partnership introduces a structured, factory-style approach to building and scaling AI agents, organized around four core components :

1. Industrialized agent development and deployment. A global model that combines reusable assets, engineering talent, and co-innovation pipelines to design, build, and scale AI agents across enterprise workflows .
2. Dedicated joint engineering and innovation teams. NTT DATA and Google Cloud experts work side-by-side to prototype, produce, and scale high-value use cases .
3. Sovereign, secure, and compliant AI by design. The collaboration is intended to support sovereign AI deployments that address data residency, regulatory, and compliance requirements .
4. Pre-built and industry-specific agent solutions. Reusable, industry-specific AI agents and accelerators are designed to reduce deployment risk and accelerate time-to-value .

This factory model is the mechanism through which NTT DATA aims to deliver on its headline commitments, moving beyond bespoke consulting toward repeatable, production-grade agent deployment.

Target Industries and Use Cases

The initiative will develop AI agents focused on banking, insurance, manufacturing, and retail, as well as cross-functional domains such as cloud migration, software development, marketing performance, procurement, and finance operations . These sectors reflect NTT DATA's established footprint and the enterprise functions where agentic AI promises the most immediate operational impact.

The Investment Gap the Partnership Must Bridge

NTT DATA's own survey data, drawn from more than 2,300 senior decision-makers across 33 countries, illustrates the market need the partnership is designed to address :

• 99% of enterprises say AI has increased their need for cloud investment .
• 88% say current cloud investment levels are putting AI, cloud-native, and modernization initiatives at risk .
• 84% reported flat cloud spending over the past year .
• Only 14% have reached the highest level of cloud maturity .

The partnership's logic is straightforward: organizations cannot scale AI agents without modernized, secure, and well-funded cloud infrastructure. The 5,000 certified experts, 500 co-innovated agents, and embedded engineering teams are meant to close that capability gap.

How This Fits Into Google Cloud's Broader Agentic AI Push

NTT DATA's expansion is part of a broader wave of IT services firms deepening their ties with Google Cloud to operationalize agentic AI. Google Cloud launched a $750 million partner fund at Cloud Next 2026—the largest single partner investment from any hyperscaler—to accelerate agentic AI development across its 120,000-member partner ecosystem . The fund supports AI value identification, agentic AI prototyping, agent building and deployment, upskilling, and teams of embedded forward-deployed engineers .

Other major systems integrators have made parallel moves:

• Accenture launched the Gemini Enterprise Acceleration Program with Google Cloud, bringing together thousands of AI-skilled engineers, forward-deployed engineers, and industry domain experts .
• TCS expanded its Google Cloud partnership in April 2026 to help enterprises adopt AI-native, autonomous operating models, launching four dedicated offerings .
• Cognizant advanced from platform integration to enterprise-scale execution with Google Cloud, combining its AI builder approach with Gemini Enterprise .
• Wipro completed an agent-building initiative with Google Cloud that delivered 200 production-ready AI agents across healthcare, banking, insurance, retail, manufacturing, and IT .

Within this competitive landscape, NTT DATA's commitment stands out for its explicit scale: 5,000 certified experts and a 500-agent co-innovation roadmap, built around an industrial factory model that provides a template for operationalizing agentic AI at enterprise speed .

Against that backdrop, NTT DATA and Google Cloud announced a significant expansion of their partnership in June 2026. The deal is not another proof-of-concept exercise. It is a deliberate, quantified commitment to industrialize agentic AI development and move enterprises from experimentation to production-grade deployment using Google's Gemini Enterprise platform.

What Was Announced

The expanded collaboration rests on three specific, measurable commitments :

• 5,000 certified Gemini Enterprise experts. NTT DATA is establishing a dedicated global Gemini Enterprise practice with joint business planning, technical enablement, training, certifications, engineering support, and coordinated go-to-market investments .
• Up to 500 AI agents. The companies plan to co-innovate and deploy up to 500 AI agents across horizontal and industry-specific enterprise use cases, designed to serve as reusable building blocks for faster, scalable AI adoption .
• Forward-deployed engineering teams. NTT DATA AI-skilled engineers and Google Cloud engineers will work directly alongside clients to support co-innovation and production deployment .

The deal builds on an August 2025 global partnership that first brought the two companies together to accelerate AI-powered cloud innovation across sectors including banking, insurance, manufacturing, retail, healthcare, life sciences, and the public sector .

Inside the Four-Part Industrial Agent Development Model

The partnership introduces a structured, factory-style approach to building and scaling AI agents, organized around four core components :

1. Industrialized agent development and deployment. A global model that combines reusable assets, engineering talent, and co-innovation pipelines to design, build, and scale AI agents across enterprise workflows .
2. Dedicated joint engineering and innovation teams. NTT DATA and Google Cloud experts work side-by-side to prototype, produce, and scale high-value use cases .
3. Sovereign, secure, and compliant AI by design. The collaboration is intended to support sovereign AI deployments that address data residency, regulatory, and compliance requirements .
4. Pre-built and industry-specific agent solutions. Reusable, industry-specific AI agents and accelerators are designed to reduce deployment risk and accelerate time-to-value .

This factory model is the mechanism through which NTT DATA aims to deliver on its headline commitments, moving beyond bespoke consulting toward repeatable, production-grade agent deployment.

Target Industries and Use Cases

The initiative will develop AI agents focused on banking, insurance, manufacturing, and retail, as well as cross-functional domains such as cloud migration, software development, marketing performance, procurement, and finance operations . These sectors reflect NTT DATA's established footprint and the enterprise functions where agentic AI promises the most immediate operational impact.

The Investment Gap the Partnership Must Bridge

NTT DATA's own survey data, drawn from more than 2,300 senior decision-makers across 33 countries, illustrates the market need the partnership is designed to address :

• 99% of enterprises say AI has increased their need for cloud investment .
• 88% say current cloud investment levels are putting AI, cloud-native, and modernization initiatives at risk .
• 84% reported flat cloud spending over the past year .
• Only 14% have reached the highest level of cloud maturity .

The partnership's logic is straightforward: organizations cannot scale AI agents without modernized, secure, and well-funded cloud infrastructure. The 5,000 certified experts, 500 co-innovated agents, and embedded engineering teams are meant to close that capability gap.

How This Fits Into Google Cloud's Broader Agentic AI Push

NTT DATA's expansion is part of a broader wave of IT services firms deepening their ties with Google Cloud to operationalize agentic AI. Google Cloud launched a $750 million partner fund at Cloud Next 2026—the largest single partner investment from any hyperscaler—to accelerate agentic AI development across its 120,000-member partner ecosystem . The fund supports AI value identification, agentic AI prototyping, agent building and deployment, upskilling, and teams of embedded forward-deployed engineers .

Other major systems integrators have made parallel moves:

• Accenture launched the Gemini Enterprise Acceleration Program with Google Cloud, bringing together thousands of AI-skilled engineers, forward-deployed engineers, and industry domain experts .
• TCS expanded its Google Cloud partnership in April 2026 to help enterprises adopt AI-native, autonomous operating models, launching four dedicated offerings .
• Cognizant advanced from platform integration to enterprise-scale execution with Google Cloud, combining its AI builder approach with Gemini Enterprise .
• Wipro completed an agent-building initiative with Google Cloud that delivered 200 production-ready AI agents across healthcare, banking, insurance, retail, manufacturing, and IT .

Within this competitive landscape, NTT DATA's commitment stands out for its explicit scale: 5,000 certified experts and a 500-agent co-innovation roadmap, built around an industrial factory model that provides a template for operationalizing agentic AI at enterprise speed .