Google is somewhat late to the game, yet it is joining the race among technology companies to lead the artificial intelligence agent market. Perplexity released its Comet Assistant a few weeks ago, OpenAI launched its Agent Builder, Microsoft is integrating agents into Copilot, and now, the company led by Sundar Pichai has introduced Gemini Enterprise, a comprehensive platform that allows any business to create, customize, and deploy AI agents.
Through a single chat interface that serves as an entry point, Enterprise enables employees—even those without programming knowledge—to securely connect these agents to the organization’s data sources—be it Google Workspace, Microsoft 365, Salesforce, or SAP—in order to automate processes, analyze information, and generate intelligent business outcomes.
“Today we are announcing the first of many multimodal agents that leverage the power of Gemini to understand and generate text, images, videos, and speech, all integrated into the Workspace applications you already use,” stated Google CEO Sundar Pichai, in an official statement. This includes the use of tools such as Nano Banana, NotebookLM, Veo3, Code Assist, or Deep Research.
The first wave of AI accustomed us to tools that performed specific yet isolated tasks. Now, technology companies are seeking to go further by offering agents that manage processes from beginning to end. In the case of Gemini, this technology is built upon six components:
With Gemini Enterprise, Google has also introduced new multimodal agents integrated into its applications. For example, Google Vids enables you to convert a presentation into a video with AI-generated voiceover. And Google Meet now translates conversations in real time.
To illustrate what these agents can achieve within a business environment, Google has presented several real-world use cases from its clients:
One of the most ambitious initiatives behind Gemini Enterprise is the creation of what Google refers to as the “agent economy”: an ecosystem in which developers, businesses, and partners create, monetize, and enable their AI agents to communicate with each other. How is this accomplished? Through open protocols such as Agent2Agent (A2A) and the Agent Payments Protocol (AP2), which allow AIs to collaborate and even carry out secure transactions among themselves.
Furthermore, Google is already collaborating with companies like ServiceNow, Workday, and Box to create cross-platform workflows.
Google Enterprise is now available for businesses using Google Cloud and can be integrated with tools such as Google Workspace or even with Microsoft 365 and SharePoint environments. Google has also launched a new free training program called Google Skills, where anyone can learn how to use Gemini Enterprise. And for developers, there is the GEAR Program (Gemini Enterprise Agent Ready), designed to train one million professionals in the creation of agents.
Regarding plans, two options are available: Gemini Business, designed for small businesses and teams, is priced at 21 dollars per user per month (includes content generation, automation with pre-designed agents, no-code agent creation, integration with Google Workspace and Microsoft 365, 25 GiB of storage per user, up to 300 users, integrated security and data governance); and Gemini Enterprise, at 30 dollars per user per month (includes all Business features plus higher usage quotas, access to Gemini Code Assist for developers, support for custom or third-party agents via ADK, advanced security: VPC, and customer-managed encryption keys).
Photo: Google
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