Google Cloud has officially launched Gemini Enterprise, a groundbreaking AI platform designed to bring intelligent agents into every corner of the workplace. Branded as “the new front door for AI in the enterprise”, Gemini Enterprise combines Google’s most advanced AI models, agent orchestration tools, and enterprise integrations into one cohesive ecosystem — aiming to democratize AI automation across entire organizations.

From AI Applications to AI Agents

During a virtual press conference, Thomas Kurian, CEO of Google Cloud, unveiled Gemini Enterprise, emphasizing a shift in how businesses are using AI:

“As our customers move beyond building applications with AI, they are now advancing to build agents,” Kurian explained.

This new evolution bundles Google’s complete AI stack — from Gemini models to orchestration frameworks — into a unified experience. The platform empowers both developers and non-technical users to build intelligent agents through a no-code workbench, accelerating innovation and productivity.

Inside Gemini Enterprise: The Six Pillars of Google’s AI Platform

At its core, Gemini Enterprise is built on six essential layers:

1. Gemini Models – The “brains” of the platform, including the powerful Gemini 2.5 Flash Image model for multimodal reasoning and image understanding.

2. Agentspace Workbench – A no-code environment for creating, managing, and orchestrating AI agents.

3. Google Taskforce Agents – A library of pre-built, specialized agents such as the Code Assist Agent and Deep Research Agent.

4. Enterprise Data Integration – Deep connectors for tools like Microsoft Teams, Salesforce, Box, Confluence, and Jira that provide contextual data access.

5. Governance and Security – A unified control center with built-in compliance, monitoring, and Google’s new Model Armor protection layer.

6. Open Partner Ecosystem – Over 100,000 integration partners supporting third-party and custom-built agents.

This architecture allows companies to automate complex workflows, integrate securely with internal data systems, and deploy scalable AI solutions organization-wide.

A New Kind of Workspace: How Gemini Enterprise Works in Action

In a live demonstration, Maryam Gholami, a Google Cloud executive, showcased a real-world scenario using a “Campaigns Agent” — one of many customizable AI tools built within Gemini Enterprise.

Using four connected agents, the system handled market research, content generation, communications, and inventory management seamlessly. Within minutes, it:

• Detected a new sci-fi trend in market data,

• Flagged a 25% inventory shortage,

• Created a purchase order in ServiceNow,

• Drafted an email to store managers, and

• Generated social media assets — all autonomously.

“Gemini Enterprise is more than just a chat interface,” Gholami concluded. “It’s an end-to-end AI system that unifies your data, your tools, and your teams — turning weeks of complex work into a single, streamlined conversation.”

AI in Action: Real-World Use Cases

Early adopters are already reporting transformative results.
Virgin Voyages, led by CEO Nirmal Saverimuttu, has rolled out a fleet of over 50 AI agents across its operations. Their first, Email Ellie, boosted content production speed by 40% and contributed to a 28% increase in sales compared to last year.

Saverimuttu emphasized AI’s collaborative role:

“AI will never replace our people. It’s about getting the best from them — unleashing human potential.”

Similarly, Macquarie Bank, one of Australia’s largest financial institutions, has deployed Gemini Enterprise for every employee, achieving a 99% completion rate in internal AI training.

These examples demonstrate how AI agents are becoming a core part of digital transformation, driving both efficiency and creativity across industries.

Partners, Skills, and Open Development

Google highlighted the openness of Gemini Enterprise, with major partners like Box, Salesforce, and ServiceNow building compatible agents.
A new AI Agent Finder will help businesses explore thousands of verified third-party and partner-built agents.

To accelerate adoption, Google also launched Google Skills, a free learning platform offering 3,000 courses on AI, data, and cloud technologies.
One highlight is the Gemini Enterprise Agent Ready (GEAR) program — a fast-track course aiming to train one million developers to build and deploy enterprise-grade agents.

Pricing and Availability

Gemini Enterprise is available globally wherever Google Cloud operates.
Pricing tiers include:

• Gemini Business (for SMBs): from $21 per seat/month

• Gemini Enterprise Standard & Plus (for large organizations): from $30 per seat/month

According to Kurian, the goal is simple yet ambitious:

“Gemini Enterprise reimagines powerful AI technology for the workplace — making it super easy to use, and putting it in the hands of every company and every user.”

The Future of Work Is Agentic

With Gemini Enterprise, Google isn’t just competing in the AI race — it’s redefining what the AI workplace looks like. By merging conversational intelligence, data connectivity, and enterprise-grade governance, Gemini Enterprise represents a new era of “agentic work” — where teams and AI collaborate fluidly to achieve more, faster.