Guide to Gemini Enterprise: features, pricing, and implementation

If you’ve tried to keep up with AI tools for business lately, you know it’s incredibly difficult. Every week brings new products with fancy names and big promises. Just when you think you understand what’s what, everything changes again.

In October 2025, Google introduced Gemini Enterprise to address this problem. They’re not just adding another tool to the growing list. Instead, they’ve built something that can actually take handle work that normally needs a human touch. These "AI agents" don’t just answer questions, they can plan and carry out entire projects across different systems on their own.

Sounds great on paper, right? But what does this really mean for your business? Is this just another cool-sounding technology, or could it actually change how work gets done? Let’s take a look at what Gemini Enterprise actually is, what early users think, and the real-world challenges you’ll face if you decide to use it.

The move towards agentic AI

Google’s Gemini Enterprise launch on October 9, 2025, changes how AI works in the workplace. Instead of tools that handle one task at a time, this new approach uses AI that can manage entire business processes from beginning to end.

What is Google’s Gemini Enterprise?

Google describes Gemini Enterprise as "the new front door for AI in the workplace." It combines Google’s advanced AI capabilities — including Gemini models, pre-built agents for common tasks, and no-code development tools — into a single system. Built on technology formerly known as Agentspace, the platform provides a central hub for interacting with company data and automating complex workflows. Importantly, Gemini Enterprise is a standalone Google Cloud platform, not a subscription tier for Google Workspace.

From chatbots to workflow orchestration

Gemini Enterprise tries to do more than chatbots that just answer questions. It creates AI "agents" that can handle complex tasks. An agent is an AI system that:

1. Figures out what you want to do
2. Makes a step-by-step plan
3. Follows that plan across different apps and data sources

It lets organizations automate whole workflows, not just single tasks one by one. Here are a few real examples:

• Virgin Voyages created an agent called "Email Ellie" that connects to internal brand guidelines to generate personalized marketing emails, reducing campaign creation time by 40%.
• Gordon Food Service sales teams use agents to research customer businesses and create targeted growth strategies.
• Harvey, a legal AI firm, uses Gemini to power agents that analyze contracts and perform due diligence, saving lawyers significant time.

You might know about the Deep Research feature in Gemini. When you ask a complex question, it plans research steps, searches websites for information, and puts together a detailed report. This ability to plan, act, and organize information on its own is what makes Gemini Enterprise different from basic AI tools.

Clarifying the confusion with past Google AI add-ons

Gemini Enterprise is different from older Google products with similar names. This platform is not the same as the "Gemini Business" and "Gemini Enterprise" add-ons for Google Workspace that existed before October 2025.

Those older products, which stopped being available in January 2025, just added AI features directly to Workspace apps like Gmail and Docs. The new Gemini Enterprise is its own Google Cloud platform designed to connect with and work across many different systems, including but not limited to Google Workspace.

The core architecture of the Gemini Enterprise platform

Gemini Enterprise isn’t one single product but a system made up of five main parts. This structure provides the foundation for its abilities, from the AI models that power it to the tools that let users build their own solutions and the systems that keep everything secure and under control.

Advanced intelligence with Gemini 2.5 models

At the heart of the platform are Google’s most advanced AI models, including Gemini 2.5 Pro and Gemini 2.5 Flash. These models provide the basic intelligence for everything Gemini Enterprise does, from understanding what users ask for to carrying out complex, multi-step workflows.

Pre-built Google agents

To provide value right away, Gemini Enterprise comes with a set of ready-to-use agents built by Google for common business tasks. Key agents include:

• Deep Research: A feature that automatically searches hundreds of websites, analyzes what it finds, and creates detailed reports with citations.
• NotebookLM Enterprise: An AI research helper that summarizes and pulls information from documents like PDFs, Google Docs, and slides. The enterprise version has better security features, higher usage limits, and more sharing options.
• Gemini Code Assist: An agent for software development that helps write code, fix bugs, and improve performance. Its agent mode can understand the full picture of a project to make changes across multiple files.

The no-code agent builder for everyone

A key part of the platform is the Agent Designer, a tool that lets any employee build custom AI agents without needing technical skills. Using plain language, users can define what they want an agent to do, give it instructions, pick which data sources and tools it can use, and set up starter questions. This lets people in departments like marketing, finance, or HR create their own solutions without waiting for IT or engineering help.

Connecting your data with a cross-platform ecosystem

How well an AI agent works depends on what data it can access. Gemini Enterprise connects safely to an organization’s data wherever it’s stored. This includes built-in connections for Google services like Workspace (Gmail, Drive, Docs) and many other systems, including Microsoft 365, Salesforce, SAP, and Atlassian tools (Jira, Confluence).

Importantly, all data access follows existing permissions, so agents only see information and files that the user is already allowed to access.

Ensuring Control with a Central Governance Framework

To manage AI use across an organization, Gemini Enterprise gives IT administrators a central control system. This dashboard shows what’s happening, provides security controls, and keeps records of all agent activities. Administrators can control which agents people can use, watch how they’re being used, and make sure all AI activity follows company rules and legal requirements.

A comparative guide to Gemini Business vs. Gemini Enterprise

Google offers two main versions of its workplace AI platform, each designed for different organizational needs. Understanding the differences between Gemini Business and Gemini Enterprise helps you make the right choice.

The two versions target different types of organizations. Gemini Business is for small businesses, startups, or individual departments within larger companies that want AI help without complex IT management. Gemini Enterprise is built for large organizations with more complex needs, including strong security controls, advanced automation, and strict compliance requirements.

Main differences in features and capabilities

While both versions give you access to Google’s AI models and let you build custom agents with the no-code agent builder, the Enterprise plan includes more advanced tools for automation, integration, and governance. The key differences are:

• Access to pre-built agents: Gemini Enterprise includes the full set of "Made by Google" agents, giving users immediate access to specialized tools like Deep Research, NotebookLM Enterprise, and Gemini Code Assist. The Business version offers fewer options.

• Custom and third-party agents: Business users can create their own no-code agents, but the Enterprise plan also lets organizations deploy agents built with code using Google’s Agent Development Kit (ADK) and use validated third-party agents from the Google Cloud Marketplace.

• Data integration: Enterprise connects to all data systems like SAP and ServiceNow. The Business version connects to fewer systems.

• Advanced security: The Enterprise plan adds sophisticated security and compliance features, including AI-powered classification and labeling for sensitive files, VPC Service Controls to prevent data leakage, and Customer-Managed Encryption Keys (CMEK).

Pricing and usage limit

The pricing reflects these different capabilities. Gemini Business costs $21 per user per month with an annual commitment. Gemini Enterprise starts at $30 per user per month with an annual commitment for its Standard edition.

A key reason for the higher price is the removal of usage limits. Business plan users have monthly caps on things like the number of prompts they can run or reports they can generate. The Enterprise version offers much higher or effectively unlimited access, which is important for heavy users and large-scale deployments where limits would reduce productivity and limit the return on investment.

A detailed breakdown of the Enterprise editions

Within Gemini Enterprise, Google offers three different versions designed to match capabilities and cost to different user roles in a large organization. This lets companies give the right tools to the right people.

Gemini Enterprise Standard for foundational use

The Standard version is the basic option for large organizations. It costs $30 per user per month with a yearly commitment. It’s made for knowledge workers who need company-wide search and AI help based on company data. This version includes some data connections, media creation tools, and basic agent controls, with 30 GiB of storage per user for data indexing.

Gemini Enterprise Plus

The Plus version is the premium option, aimed at power users, developers, and department leaders who will build and expand custom AI solutions. It also costs $30 per user per month with a yearly commitment, but it unlocks all the platform’s creation and automation features. 

It has everything in the Standard version, plus first access to the newest Gemini models, the complete set of "Made by Google" agents (including Deep Research and Code Assist), and connections to all data systems. Most importantly, this version lets users build and share custom agents using the no-code Agent Designer and access the Agent Marketplace. It comes with 75 GiB of storage per user.

Gemini Enterprise Frontline

The Frontline version is a cheaper option made for large field teams and frontline workers in areas like retail or logistics. You need to buy at least 150 Standard or Plus licenses to use it. The main difference is that Frontline users can use agents that administrators set up for them, but they can’t create or share their own. It provides permission-based search with relevant connections and works well on mobile devices, with 2 GiB of storage per user.

Understanding consumption costs & extra charges

It’s important to know that the monthly per-user fee is just the license that gives access to the Gemini Enterprise platform; it’s not the total cost. Actually using powerful features uses computing resources. This usage connects to your Google Cloud account, and any use beyond the plan’s limits can lead to extra charges.

This explains the pricing for the Plus version; while the license costs the same as Standard, it’s designed for heavier use that will naturally use more cloud resources and potentially cost more overall.