The best of Google AI for every employee, every workflow
Your teams work across dozens of AI tools that rarely connect. This one-pager introduces Gemini Enterprise, a single secure platform that unifies Google's most advanced multimodal models, specialized agents, and your own business data. See how centralized governance and deep data integration help you build, manage, and scale AI agents across workflows to boost productivity and support smarter decisions.
What is Gemini Enterprise and who is it for?
Gemini Enterprise is a secure, company-wide AI platform that helps every employee work with AI agents in their daily workflows. Instead of juggling many separate AI tools, teams can discover, create, share, and run AI agents in one place.
It’s built for a broad range of roles—from marketing and sales to operations, product, and engineering—by combining:
- Gemini chat workbench so employees can build, orchestrate, and use agents without needing to write code.
- Immediate access to Google’s most advanced Gemini models, including multimodal capabilities (text, images, and more).
- Grounding in your own systems and data, wherever they live, so responses are based on your reality, not just public information.
- A suite of specialized agents (Google-built and third-party) that support tasks from research to coding.
In short, Gemini Enterprise is designed to reimagine how employees search, create, write, and learn at work—within a single, governed platform.
How can AI agents in Gemini Enterprise improve everyday work?
Gemini Enterprise focuses on helping employees trade busy work for higher-value work by using AI agents that plug into real business workflows. Some practical examples include:
- Accelerating routine workflows: Agents can co-author documents, connect directly to core business systems, and provide accurate, action-oriented responses—all without employees writing a single line of code.
- Condensing hours of research into seconds: Teams can consolidate and summarize scattered data into presentation-ready outputs, while quickly analyzing competitive offerings and nuanced customer pain points to reduce launch risk.
- Transforming text into creative assets: With multimodal capabilities, employees can generate localized marketing campaigns and high-quality social content, effectively turning text prompts into on-brand visuals and copy.
- Supporting software development: Built-in coding capabilities help engineers code faster with fewer errors, refactor legacy code to reduce technical debt, and strengthen quality through enhanced, automated QA processes.
Because these agents are grounded in your organization’s own data and systems, they can move beyond generic answers and become a practical part of everyday decision-making and execution.
How does Gemini Enterprise handle security and governance?
Gemini Enterprise is built on an enterprise-grade foundation, using the same secure platform that protects Google Cloud. This gives organizations a starting point of immediate trust and compliance for AI initiatives.
Key security and governance capabilities include:
- Advanced agent protection: Every agent interaction is protected with built-in, AI-specific guardrails that are designed to work across multi-agent systems.
- Centralized governance: A single dashboard provides complete visibility and control over all agents, so IT and security teams can visualize, secure, and audit usage in one place.
- Enterprise-grade security and agent governance: Security, access control, and auditing are managed centrally, reducing the risk of shadow AI tools and fragmented policies.
Combined with Google’s industry-leading search and a comprehensive, open agentic ecosystem, Gemini Enterprise helps organizations deploy and manage an AI agent taskforce with security and governance built in from day one.