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. And just when you think you understand what’s what, everything changes again.

In October 2025, Google introduced Gemini Enterprise, a system of “AI agents” that don’t just answer questions but plan and execute entire projects on their own.

But what does this really mean for your business? Is this just more hype, or could it change how work gets done? We’ll look at what Gemini Enterprise actually is, what early adopters found, and the real-world challenges you’ll face.

In this article:

• What is Gemini Enterprise?
• Core features & architecture
• Pricing & plans
• Use cases & customer success stories
• Implementation: Challenges & key considerations
• How Revolgy helps you succeed
• FAQs

What is Gemini Enterprise?

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.

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 agentic AI

Gemini Enterprise aims to do more than just chatbots that 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. This approach is already being used (as we’ll explore in the case studies later):

• 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 considerable amounts of 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.

Gemini Enterprise vs. past Workspace 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.

Core features & architecture

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 (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 “made by 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

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.

Data & app connectivity

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.

Centralized governance & security

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.

Pricing & plans

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.

Gemini Business vs. Enterprise at a glance

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).

The pricing reflects these different capabilities. Gemini Business starts at $21 per user per month with an annual commitment. Gemini Enterprise Standard costs $30/month per user with a 12-month commitment or $35/month per user without the commitment.

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.

Gemini Enterprise tiers: Standard, Plus & Frontline

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 baseline option for large organizations. Gemini Enterprise Standard costs $30/month per user with a 12-month commitment or $35/month per user without the commitment. It’s designed for knowledge workers who need company-wide search and AI assistance based on internal data. This version includes selected data connections, media creation tools, and basic agent controls, with 30 GiB of storage per user for data indexing.

Gemini Enterprise Plus for builders and power users

The Plus version is the premium tier, aimed at developers, power users, and department leads building and scaling custom AI solutions.
It includes 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)

• Connections to all data systems

• The ability to build and share custom agents via the no-code Agent Designer

• Access to the Agent Marketplace

• 75 GiB of storage per user

Pricing starts at $50 per user per month with an annual commitment, but actual monthly spend may vary depending on usage. Gemini Enterprise Plus costs $60/month per user without a commitment.

Gemini Enterprise Frontline for field and frontline workers

The Frontline edition is a lighter, lower-cost option made for large field teams in industries like retail or logistics. It requires at least 150 Standard or Plus licenses to activate. Frontline users can access and use pre-approved agents set up by administrators but can’t create or share their own. It supports permission-based search and mobile workflows, with 2 GiB of storage per user.

Understanding extra costs (consumption & usage)

The monthly per-user fee provides access to the Gemini Enterprise platform — but it’s not the total cost. Using high-performance AI features consumes compute resources from your linked Google Cloud account, and heavy use can generate additional charges.

That’s why the Plus tier is optimized for higher-intensity usage: while the license rate is fixed, overall spend scales with actual compute consumption.

Note: Pricing and feature availability are subject to change based on Google’s official updates and regional terms.