Google today launched Gemini Enterprise, a new AI platform that lets companies chat with their documents, data, and internal apps, and build, deploy, and govern AI agents grounded in their own information and context.
Key Highlights
- Gemini Enterprise enables conversational access to a company’s documents, data, apps, and systems
- Users can build and deploy AI agents, custom or partner-made tied to their own context
- It offers a no-code workbench and integrates security, governance, and visibility
- Google includes prebuilt agents for tasks like research and data science
- A centralized “agent hub” lets businesses manage all agents in one place
Google Launch Gemini Enterprise for Business AI
Today, Google introduced Gemini Enterprise, its most advanced AI platform designed for enterprise use. It’s built on Google’s top-tier Gemini models and promises to let employees converse naturally with company documents, data, and internal applications. More importantly, it empowers organizations to build, deploy, and govern AI agents that operate inside their own secure context.
Conversational AI Meets Enterprise Data
Instead of isolated chatbots, Gemini Enterprise lets users ask questions and receive insights from across their own systems and information. The AI “brain” is grounded in internal documents, databases, and business apps so responses reflect real context and do not drift off-course.
Build, Deploy & Govern Agents Seamlessly
A standout feature is the no-code workbench for creating AI agents. Whether you’re in marketing, support, operations or finance, you can design agents to automate tasks no deep technical skills required.
In addition:
- You can use prebuilt Google agents or partner agents as starting points
- Custom agents built in Vertex AI can be deployed directly into Gemini Enterprise
- A central agent hub gives visibility and governance over all agents in use
Prebuilt Agents Accelerate Use Cases
To enable quick value, Google supplies a library of prebuilt agents like “Deep Research” and “Data Science” agents. Companies can adopt and adapt these agents to their workflows instead of starting from zero.
Enterprise-Grade Security & Governance
Gemini Enterprise is not just about convenience. It comes with built-in mechanisms for access control, audit trails, and compliance. Administrators get oversight over how agents are used, updated, or retired.
Why It Matters: AI in the Flow of Work
By merging conversational AI, agent building, and enterprise data, Google aims to shift AI from siloed tools to part of everyday work. Organizations can deploy agents to streamline workflows, boost productivity, and reduce manual tasks while keeping full control over their data and logic.
