Analyst: Nick Patience
Publication date: October 10, 2025
Google has officially launched Google Gemini Enterprise, an integrated, all-in-one AI platform designed to serve as a single “front door” for employees to interact with AI in the workplace. The platform combines Google's cutting-edge AI models with no-code tools, pre-built agents, and deep integration to enterprise data sources, all backed by a robust governance and security framework to accelerate adoption and business transformation.
In this article:
- Introducing Google Gemini Enterprise, an all-in-one platform that brings together AI models, a workbench for agent creation, prepackaged agents, and enterprise context connectors.
- The platform's core value proposition analysis focuses on democratizing AI to all employees, not just developers, through no-code and low-code tools.
- Introducing enterprise-grade governance and security features, including a centralized agent registry, audit trail, and Model Armor, designed to meet the reliability and compliance needs of large organizations.
- Pricing and availability details coming soon. The platform will soon enter public preview and will be offered on a per-user, per-month subscription model.
news: Google announced Google Gemini Enterprise, a comprehensive AI-driven platform that combines advanced models, agent development tools, and enterprise integration capabilities into one unified product. Designed to empower every employee in an organization, the platform allows users to chat with corporate data, automate complex workflows with AI agents, and access a marketplace of pre-built applications, while providing IT leaders with centralized governance and control.
Can Google Gemini Enterprise open the door to business AI?
Analyst's view: Google's launch of Google Gemini Enterprise is a strategic move to address a core challenge facing businesses today: the fragmented and often overbearing landscape of AI tools. Google aims to unify the user experience and lower the barrier to entry to workflow automation by positioning Gemini Enterprise as “a new gateway to using AI in the workplace for everyone.” Gemini Enterprise is based on Agentspace, which Google announced in December 2024. But the company makes a strong case that Gemini Enterprise is more than a rebranding effort.
Gemini Enterprise consists of five elements. The Gemini model itself is, to use Google's terminology, the “brain” of the operation. Next comes the workbench. It's a set of low-code and no-code tools that allows anyone to build and use agents to chat with data from systems like SAP and Salesforce. This workbench is complemented by a task force of pre-built agents from Google and its partners available on the Google Cloud Marketplace. Context is provided by connectors to popular applications such as SAP, Microsoft 365, SharePoint, and Atlassian, all managed through a central governance framework.
When to use Gemini Enterprise and when not to use it?
It's obviously important for Gemini Enterprise to connect to business applications such as Microsoft and SAP, but of course they have or are building their own native agent platforms. So why should companies use Gemi Enterprise to interact with SAP's ERP applications? Google Cloud CEO Thomas Kuran explained in an analyst Q&A session that the idea is not for Gemini Enterprise and is not intended to replace all native agents. System-specific agents like SAP or Oracle are best suited for specialized processes (such as accounting) that are limited to those systems. However, he argued that Gemini Enterprise excels in scenarios that require extensive integration and orchestration across multiple systems and data sources, such as customer service involving multiple platforms. It provides the flexibility to combine and interact with different agents to enable use cases that require cross-platform insights and actions, while providing the practicality of recommending the best native solution.
Agents or groups of agents are increasingly tasked with handling more complex workflows autonomously. These agent processes may depend on other processes or data that are likely to be agent or automated in nature. The result is a world where orchestration must be clear, transparent, and flexible to incorporate dynamic decision-making. By intelligently automating these dependent and complex workflows, companies will be able to truly realize the exponential business benefits of agent AI.
Price and availability
Google has opted for seat-based pricing. Gemini Enterprise Edition costs $30 per user per month, while Business Edition for small teams is available for $21 per user per month. Both tiers include a 30-day trial. Current Agentspace customers can continue to use the product, but will need to upgrade to take advantage of the full functionality of Gemini Enterprise. Public preview of Gemini Enterprise will begin in the coming weeks.
Notable content:
- On the same day that Gemini Enterprise was released, Amazon Web Services (AWS) released its direct competitor, the unfortunately named Quick Suite. This is a new agent AI platform similar to Gemini Enterprise, but at a lower price point of $20 per user per month.
- As Google CEO and reference customer Virgin Voyages pointed out at the launch, successful AI adoption requires a cultural shift. Although Google Gemini Enterprise provides the tools, organizations will still face the challenge of fostering curiosity, encouraging experimentation, and redesigning processes to take full advantage of the platform's capabilities.
- Although Google offers a suite of connectors, services, and support, integrating with decades of complex, often customized legacy enterprise systems can be a real hurdle.
- The competition to be the agent platform of choice is insane. All major application providers are building or have built their own applications, as are all hyperscalers. Perhaps most ominously, OpenAI's expansion from ChatGPT tools to agents and apps proves that it has big ambitions within the enterprise.
To learn more about Google Gemini Enterprise, visit the Google Blog.
Disclosure: Futurum is a research and advisory firm that engages in or has engaged in research, analysis, and advisory services with many technology companies, including those mentioned in this article. The author has no equity relationships with any companies mentioned in this article.
The analyzes and opinions expressed herein are specific to the analyst and the data and other information that may be provided for verification, and not to Futurum as a whole.
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Image credit: Google Cloud
Nick Patience is Vice President and Practice Lead for AI Platforms at Futurum Group. Nick is a thought leader in the development, deployment, and deployment of AI and has been researching the field for 25 years. Prior to joining Futurum, he was a Managing Analyst at S&P Global Market Intelligence, where he was responsible for 451 Research's data, AI, analytics, information security, and risk coverage. Nick became part of S&P Global in 2019 with the acquisition of 451 Research, the pioneering analyst firm he co-founded in 1999. He is a sought-after speaker and advisor known for his expertise on AI adoption drivers, industry use cases, and the infrastructure behind their development and deployment. Nick also spent three years as Director of Product Marketing at Recommind (now part of OpenText), a machine learning-driven eDiscovery software company. Nick is based in London.
