Google aims to put an AI agent on every desk.

Google Cloud is making a significant push into the enterprise AI space with the launch of Gemini Enterprise, a new platform designed to be, as Google calls it, “the new front door for AI in the workplace.” This ambitious offering aims to streamline the development and deployment of AI-powered agents, promising to transform how businesses automate complex workflows and enhance overall productivity.

CEO of Google Cloud, Thomas Kurian, unveiled Gemini Enterprise during a virtual press conference, highlighting the shift in customer demand from basic AI application development to the creation of sophisticated AI agents. Gemini Enterprise represents Google’s integrated solution to this evolving need, offering a unified AI stack that empowers both developers and business users to build agents through a user-friendly, no-code workbench.

At its core, the platform leverages six key components. First and foremost are Google’s Gemini models, including the newly introduced Gemini 2.5 Flash Image, serving as the “brains” of the agents. The “workbench,” powered by the agent creation and orchestration technology previously known as Agentspace, simplifies agent management and process automation for all users. Complementing this is the “taskforce,” a collection of pre-built Google agents tailored for specialized tasks, such as the Code Assist Agent and the Deep Research Agent. This is more than just a collection of tools, it’s a structured approach to AI adoption within traditionally complex enterprise infrastructures.

Crucially, Gemini Enterprise emphasizes seamless data integration through new connectors for popular systems like Microsoft Teams, Salesforce, Box, Confluence, and Jira. This deep integration allows agents to access and utilize relevant company data, enhancing their effectiveness and personalization capabilities. As Kurian explained, the system is designed to “remember who you are and what you do,” enabling personalized interactions with large language models, a nod toward contextual awareness in enterprise AI solutions.

A central governance framework offers organizations the ability to monitor, secure, and audit all agents from a single interface, incorporating security measures like Model Armor. This is indispensable for responsible AI use, in a time where responsible AI integration can be often overlooked. Finally, the platform rests upon an open ecosystem of over 100,000 partners, suggesting a robust network of support and collaboration.

Gemini Enterprise: A Glimpse into the Future of Work

Maryam Gholami demonstrated the platform’s practical applications through a compelling use case.

“The beauty of Gemini Enterprise is that it offers the familiar interface of Gemini but built for enterprise workflows, including full control to enable or disable any of the sources as needed,” Gholami stated.

Using a custom ‘campaigns agent’, she showcased how four different agents could manage market research, media generation, team communications, and inventory management. The agent successfully identified a trend towards sci-fi themes, detected a 25% inventory gap, automatically generated a purchase order in ServiceNow, drafted an email to store managers, and created social media assets, demonstrating the agent’s ability to automate traditionally time-intensive tasks.

“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.”

Customers Drive Transformation with AI Fleets

Nirmal Saverimuttu, CEO of Virgin Voyages, emphasized the importance of cultural transformation alongside technological adoption, stating that “any major disruption like AI requires a cultural transformation to be successful.” This notion of cultural transformation implies that true AI deployment requires strong user/company alignment.

Saverimuttu also underscored that AI should augment, not replace, human workers, highlighting the importance of leveraging AI to “unleash human potential.”

Virgin Voyages has deployed a fleet of over 50 specialized AI agents across the organization. One such agent, ‘Email Ellie,’ has reportedly boosted content production speed by 40% and contributed to a 28% year-over-year increase in July sales. Operational improvements also include a “35 percent reduction in agency dependency costs, resulting in creative independence,” according to Saverimuttu. This showcases the potential ROI of specialized AI agents within a specific business context.

Macquarie Bank, another early adopter, has made Gemini Enterprise available to all employees, with 99% of staff completing generative AI training, suggesting a commitment to widespread AI literacy within the organization.

Google emphasized that the Gemini Enterprise system is an open platform, with ecosystem participants like Box, Salesforce, and ServiceNow already supporting compatibility with their existing agents. To further ease adoption, Google has launched Google Skills, a free learning platform offering 3,000 courses. The company also announced the Gemini Enterprise Agent Ready (GEAR) program, an initiative designed to empower one million developers to build and deploy agents, further signaling Google’s intent to foster a large developer community around the platform. The development of this community will be key to the system’s long-term viability.

Pricing and Availability of Gemini Enterprise

Gemini Enterprise is available globally in all countries where Google Cloud products are sold. Gemini Business, targeted at smaller businesses, starts at $21 per seat per month, while Gemini Enterprise Standard and Plus editions for larger organizations start at $30 per seat per month. These rates place Google Cloud in a position to compete with current competitors, with slight variation on pricing that may or may not affect user adoption.

Kurian emphasizes that the underlying goal of the launch is to democratize powerful technology, stating that “Gemini Enterprise technology is really about reimagining a super powerful AI technology [for the workplace] but making it super easy to use and putting it in the hands of every company and every user in those companies.” However, realizing this goal relies on Google Cloud continuing to expand its ecosystem of partners and supporting widespread adoption.