Google launches Gemini Enterprise with no-code AI Workbench

You ask one place, “What did we promise client X in our last contract, and did we deliver?” It pulls the contract from Drive or SharePoint, checks tasks in Jira, matches revenue in Salesforce and BigQuery, and drafts an email in Gmail with the summary.

No hopping from tab to tab. No copy‑paste. That “one place” is what Google is going for with Gemini Enterprise.

What Gemini Enterprise is

Launched on October 9, 2025, Gemini Enterprise is a standalone platform that integrates across your company’s data and tools. Employees can talk to it, ask about internal data, and act on results across the tools they already use. It’s meant for the whole company, not just engineers.

Google calls it an agentic AI platform, meaning it lets you build and run AI agents that can take actions, not just reply with text.

Some of the early customers, already announced at launch, include Gap, Figma, and Klarna, among others.

Connecting different data sources

A big plus of the platform is the data connection. Gemini Enterprise can securely plug into:

• Google Workspace (Gmail, Docs, Drive, Meet)
• Microsoft 365 and SharePoint
• Salesforce and SAP
• BigQuery for data
• Box, ServiceNow, and Atlassian tools like Jira

Those connections give the AI the context it needs to be useful and safe. You can ask real questions about your own files, and the answers can trigger real actions in those systems.

With the right permissions, agents can read what they need, act where allowed (like creating a Jira issue or drafting a Gmail message), and log what they did.

A no-code platform for custom AI agents

Gemini Enterprise is built around agents that can read your company’s data, follow steps, and take actions in your tools. Essentially, you are turning a request into a workflow that runs across the systems you already use.

The Workbench is where you create these agents. You can:

• Describe what you want in plain language (“Watch the support inbox, check related Jira tickets, suggest a reply, and update ServiceNow when it’s sent.”). The Agent Builder turns that into a draft workflow you can adjust.
• Use a low‑code visual builder to drag steps into place, set conditions, and connect data sources. This draws on Google’s “Agentspace” work, but you don’t need to know that to use it.

There’s also a low‑code visual builder if you want to drag and drop steps. Under the hood, this draws on Google’s “Agentspace” work. But you don’t need to know that to use it. The idea is simple: describe the job, tweak the steps, hit deploy.

Prebuilt agents you can use on day one

Gemini Enterprise includes a collection of pre-built Google-made AI agents: for example, Deep Research, Data Insights, NotebookLM, and Gemini Code Assist.

They can handle common workplace tasks like deep research projects, data analysis, and insight generation. You can run these as is or use them as templates for your own agents.

Multimodal models and a huge context window

Gemini Enterprise runs on Google’s multimodal models, so one agent can handle text, code, images, audio, and video in the same session.

It also supports a context window of up to 2 million tokens, so it can keep track of long documents, hours of transcripts, large spreadsheets, and multi‑step conversations.

Security, privacy, and control

Gemini Enterprise puts security and IT control first, so companies can keep data private and stay compliant as they adopt more AI.

Protection:

• Zero data retention for model training. Your prompts and outputs aren’t kept to train Google’s models.
• End‑to‑end encryption to protect sensitive information as it moves and is stored.

Compliance:

Gemini Enterprise is designed to meet common international standards, including SOC 2 Type II, ISO 27001/17/18, and GDPR. 

There’s a central dashboard to see every agent, who’s using it, and what data it can touch. From there, you can:

• Set granular access permissions
• Enforce policies and data boundaries
• Monitor usage and run audits across the whole agent fleet

A built‑in layer called Model Armor reviews prompts and responses. It flags or filters things that look unsafe or noncompliant—helping prevent data leaks and policy violations without asking your team to build custom moderation tools.

An architecture diagram showing an application using Model Armor to protect an LLM and a user.

Source: Model Armor Overview (Google)

Developer tools and the growing partner ecosystem

Gemini Enterprise isn’t only for no-code users. Google is backing it with tools and programs for developers, partners, and complex rollouts.

Code Assist, APIs, and SDKs

If you write code, Gemini Code Assist can help with real‑time code suggestions, debugging, and generating documentation. Beyond the editor, the platform exposes APIs and SDKs so you can:

• Build custom integrations with your internal systems and third‑party apps
• Orchestrate agent workflows from your own services
• Fine‑tune models to meet specific enterprise needs

Training at scale

Getting people up to speed is usually the hardest part. Google is pairing the launch with two learning tracks, and both use the actual Gemini Enterprise tools and award skill badges so teams can show progress.

• Google Skills: a free hub with 3,000 courses and labs from Google Cloud, DeepMind, and Google for Education, covering everything from basics to hands‑on labs.
• GEAR (Gemini Enterprise Agent Ready): a program aiming to enable one million developers to build and deploy agents on the platform. Participants can earn skill badges via Google Skills.

Revolgy offers AI training tailored to your business and the specific needs of your teams, so you can adopt AI more quickly and securely. Contact us for your AI adoption plan.

If this sounds useful but you’re not sure where to start, we can help you take the first steps. Gemini Enterprise is strongest when it’s tied to your actual tools and habits. Revolgy helps you get there — starting small, proving value, and scaling with the controls your IT team expects. Get in touch for a free consultation.

Read also the full guide on Gemini Enterprise here.