Google Launches Gemini Enterprise at Work 2025 to Power Agentic AI Across Workflows
On Thursday, Google unveiled Gemini Enterprise, a new full-stack artificial intelligence (AI) solution for businesses. The news was made during Google Cloud’s Gemini at Work 2025 event. The new platform is a consolidated service that connects across many verticals of a company and can draw context from its data hubs across Workspace as well as other third-party applications, in contrast to the current Gemini assistant side panels within Workspace apps. The software giant with headquarters in Mountain View also shared a number of use cases for teams and employees.
Gemini Enterprise Is a Full-Stack Agentic Platform for Businesses
The tech giant described Gemini Enterprise in a blog post as a full-stack service, which means that Google itself manages and provides everything from underlying models and frontend products and platforms to AI infrastructure and research.
Additionally, it is no longer a straightforward chatbot. Although the platform’s core functionality is still conversational, meaning users would still interact with the AI through written prompts (Google did not indicate whether voice options would be accessible), the system’s capabilities have grown significantly. “You need a comprehensive and integrated platform that brings all your company’s data, tools, and people together in one secure place,” the company said in an attempt to appeal to businesses on the pitch.
What precisely are businesses receiving, then? a full-stack solution that integrates with every organizational vertical and is centrally linked to the main data hubs, including Microsoft 365, Salesforce, and SAP, as well as Google Workspace. This enables the AI system to comprehend the business requirements contextually and respond to inquiries with well-founded answers.
But what Google actually offers is more important than the Q&A feature. With the help of Gemini Enterprise’s most sophisticated AI models, companies can now create AI agents using a “no-code workbench.” This implies that teams and workers can design customized agentic workflows that are fully automated, including specific executions.
Using the library of pre-built AI agents that are readily deployable for workflow is one method to achieve that. Making a customized AI agent from the ground up is an additional method. According to Google, every team—from marketing to finance—can utilize this feature.
Since most firms use several knowledge hubs, access to data is the primary challenge when developing AI agents today. By integrating its platform with outside sources, Google resolves the issue. Thus, it becomes simple to create an agent using a single interface. Notably, the business asserts that a central governance architecture manages all of the data that the Gemini Enterprise platform accesses, enabling users to view, secure, and audit all of an organization’s active agents from a single location.
