Analyst(s): Nick Patience
Publication Date: October 10, 2025 (Updated October 15, 2025 to add availability & pricing details)
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 most advanced AI models with no-code tools, pre-built agents, and deep integrations into enterprise data sources, all underpinned by a robust governance and security framework to accelerate adoption and business transformation.
What is Covered in this Article:
- An overview of Google Gemini Enterprise, an all-in-one platform that integrates AI models, a workbench for agent creation, pre-packaged agents, and enterprise context connectors.
- Analysis of the platform’s core value proposition centered on democratizing AI for all employees, not just developers, through no-code and low-code tools.
- A look at the enterprise-grade governance and security features, including a centralized agent registry, audit trails, and Model Armor, designed to meet the trust and compliance needs of large organizations.
- Gemini Enterprise is generally available as of October 9, 2025, in all countries where Google Cloud products are sold.
- Gemini Enterprise starts at $30 per user, per month, while Gemini Business starts at $21 per user, per month.
The News: Google announced Google Gemini Enterprise, a comprehensive AI-driven platform that consolidates its advanced models, agent development tools, and enterprise integration capabilities into a single, unified offering. Designed to empower every employee within an organization, the platform enables users to chat with enterprise data, automate complex workflows using AI agents, and access a marketplace of pre-built applications while providing IT leaders with centralized governance and control.
Can Google Gemini Enterprise Unlock the Front Door for Business AI?
Analyst Take: Google’s launch of Google Gemini Enterprise is a strategic move to address a core challenge facing businesses today: the fragmented and often intimidating landscape of AI tools. By positioning Gemini Enterprise as the “new front door for every user to use AI in the workplace,” Google is aiming to unify the user experience and lower the barrier to entry for workflow automation. Gemini Enterprise is based on Agentspace, which Google announced in December 2024. However, the company claims – with strong justification – that Gemini Enterprise is much more than a rebranding effort.
Gemini Enterprise comprises five elements: the Gemini models themselves – the “brains” of the operation, to use Google’s parlance. Then comes the workbench, which is a set of low-code and no-code tools that enables anyone to build and use agents to chat with data from systems like SAP or Salesforce. The workbench is complemented by the task force of pre-built agents from Google and its partners available in the Google Cloud marketplace. Context is provided by connectors to common applications such as SAP, Microsoft 365, SharePoint, Atlassian, and so on, and it’s all managed through a central governance framework.
When to use Gemini Enterprise – and When not to
It’s obviously essential that Gemini Enterprise connects to business applications from the likes of Microsoft and SAP, but of course, they have or are building their own native agent platforms. So why should a company use Gemini Enterprise to interact with SAP’s ERP applications, for example? Google Cloud CEO Thomas Kurian explained during the analyst Q&A session that the idea isn’t for Gemini Enterprise and isn’t intended to replace all native agents – system-specific agents like those from SAP or Oracle are best for specialized processes confined to those systems (e.g., accounting). However, he argued that Gemini Enterprise excels in scenarios needing broader integration and orchestration across multiple systems and data sources (e.g., customer service that involves several platforms). It offers flexibility to combine and interact with different agents – use cases where cross-platform insights or actions are required – while being pragmatic about recommending native solutions where they fit best.
Agents or groups of agents are increasingly being tasked with handling more complex workflows autonomously. These agentic processes will likely be dependent upon other processes or data, which are likely to be agentic or automated in nature. This will result in a world in which orchestration needs to be clear, transparent, and flexible to incorporate dynamic decision-making. The intelligent automation of these dependent and complex workflows is likely where businesses will truly see the exponential business benefits of agentic AI.
Pricing and availability
Google has opted for seat-based pricing. The Gemini Enterprise Edition costs $30 per user per month, while a Business Edition for smaller teams will be available for $21 per user per month. Both tiers include a 30-day trial. Current Agentspace customers can still use the product, but must upgrade to get the full functionality of Gemini Enterprise. The public preview of Gemini Enterprise starts in a few weeks.
What to Watch:
- On the same day as Gemini Enterprise’s launch, Amazon Web Services (AWS) launched its direct competitor, the unfortunately-named Quick Suite, a similar new agentic AI platform from, but at a lower price of $20 per user per month.
- As the CEO of Virgin Voyages, a Google reference customer, highlighted during the launch, successful AI implementation requires a cultural shift. While 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.
- While Google offers a suite of connectors and services and support, the reality of integrating with decades of complex, often customized, legacy enterprise systems can be a significant hurdle.
- The competition to be the agentic platform of choice is insane. Every major application provider is building—or has built—its own, as have all the hyperscalers. Perhaps most ominously, OpenAI’s expansion from its ChatGPT tool to agents and apps proves it has major ambitions in the enterprise.
See more about Google Gemini Enterprise on the Google blog.
Disclosure: Futurum is a research and advisory firm that engages or has engaged in research, analysis, and advisory services with many technology companies, including those mentioned in this article. The author does not hold any equity positions with any company mentioned in this article.
Analysis and opinions expressed herein are specific to the analyst individually and data and other information that might have been provided for validation, not those of Futurum as a whole.
Other insights from Futurum:
Google Cloud Next 2025: The Yellow Brick Road to AI Transformation
Will Google’s AI Enhancements Help Drive Greater User Adoption?
Is Microsoft 365 Copilot Agent Mode Ready to Rival Human Accuracy?
Image Credit: Google Cloud
Author Information
Nick Patience is VP and Practice Lead for AI Platforms at The Futurum Group. Nick is a thought leader on AI development, deployment, and adoption - an area he has researched for 25 years. Before Futurum, Nick was a Managing Analyst with S&P Global Market Intelligence, responsible for 451 Research’s coverage of Data, AI, Analytics, Information Security, and Risk. Nick became part of S&P Global through its 2019 acquisition of 451 Research, a pioneering analyst firm that Nick co-founded in 1999. He is a sought-after speaker and advisor, known for his expertise in the drivers of AI adoption, industry use cases, and the infrastructure behind its development and deployment. Nick also spent three years as a product marketing lead at Recommind (now part of OpenText), a machine learning-driven eDiscovery software company. Nick is based in London.
