Google in turn is responding to the strong push for agents in the artificial intelligence market. The Mountain View firm presents a turnkey agent designer for businesses.
After OpenAI, it is Google’s turn to present a suite dedicated to the creation of agents. Launched on October 9, Gemini Enterprise allows you to design agentic workflows in no code. Unlike the OpenAI platform, Google targets internal company use cases. Gemini Enterprise includes all the necessary building blocks for designing an agent, from the model to the tools and connectors. Google thus wishes to bring agents across the company for all professions.
Models, a design board, connectors…
Gemini Enterprise is presented by Google as the new gateway to AI for company employees. The suite consists of six main modules: models, a workbench, pre-configured agents (task force) and finally a governance and security module. “Gemini Enterprise integrates all of these pieces into a very easy-to-use platform for every user in every company, no matter their size, and for teams and departments within those companies to use AI at scale,” says Thomas Kurian, CEO of Google Cloud.
Create and use agents
The brains of Gemini Enterprise rest, of course, on the latest Gemini models (mainly 2.5 Pro and Flash). These models allow users to interact with all of their company’s data, summarize it, and automate complex workflows. The platform also integrates multimodal models like Imagen, Veo 3 and “nanobanana” (Gemini 2.5 Flash Image) for the generation of visual and video content. The workbench constitutes the main interface where employees can exploit three key functionalities: chat with their business systems (ERP, CRM, documents and databases), obtain information and summaries (in classic chat mode), and use agents. “We give you very simple low-code and no-code tools to build and use agents,” summarizes Thomas Kurian.
Agents are created via the Agent Designer, which allows you to design or modify agents visually or in natural language. Another major advantage: it is possible to orchestrate several agents between them. For example, a campaign agent can coordinate four specialized agents (market research, content generation, communications and inventory management) to automate a complex end-to-end workflow.
Pre-configured agents
Beyond the creation of personalized agents, Gemini Enterprise embeds a “task force” of pre-configured agents developed by Google and several partners. They make it possible to cover a large number of internal use cases within the company, including the generation of new visual content. To guarantee secure deployment, Google integrates a centralized governance module to monitor all deployed agents, audit their actions and control their security. Each agent will only be able to use the data that the user is authorized to see. Likewise, he will only be able to perform permitted actions.
A monitoring module
Finally, like OpenAI’s AgentKit, Gemini Enterprise comes with a wide variety of connectors. The platform integrates natively with Google Workspace, but also (it should be noted) with Microsoft 365, SharePoint, and the main business applications such as Salesforce, SAP, ServiceNow and Jira. Agents will therefore be able to access documents, internal communications and current projects to read and act
Subscriptions starting at $21 per month
Gemini Enterprise is available from October 9. In theory only. In practice, Gemini Enterprise would only be available “in the coming weeks.” Google offers two different subscriptions. An Enterprise Standard and Standard Plus plan at $30 per user per month (annual billing), and a Gemini Business plan starting at $21 per user per month. Google does not, however, specify the different options offered in its offers nor the geographic areas of availability.
Furthermore, Google highlights the first results obtained by Virgin Voyages, partner of choice for its ad. The company claims to have already deployed more than 50 agents via Gemini Enterprise, with notable gains: 75% less time between the idea of a project and its realization, content produced up to 40% faster and a 32% increase in the opening rates of emails sent. Impressive figures but should be taken with caution given the partnership between the two companies. Beyond this customer case, Google clearly displays its leadership ambitions in the enterprise AI cloud market.
Thomas Kurian highlights strong dynamics: 9 of the 10 largest global AI laboratories use Google Cloud, 65% of Google Cloud customers already deploy AI solutions, and the latter adopt on average 1.5 times more products than others.
