Google Workspace with Gemini vs. Gemini Enterprise: 10 Differences You Should Know

Estimated reading time: 11 minutes

I. Introduction

Many businesses are looking to move beyond simple AI tools to truly automate and speed up their core workflows. To answer this need, Google Cloud released Gemini Enterprise, a one-stop shop for a business-wide search platform and custom AI agents. 

But for some businesses already using Google Workspace, this prompts some key questions: Is Gemini Enterprise just a glorified version of Google Workspace with Gemini? What can it actually do that Gemini can’t on its own?

In this article, you will uncover the differences between Gemini Enterprise and Google Workspace with Gemini, to understand their distinct strengths and how businesses are able to benefit from using both tools. It is based on insights from Devoteam’s experts, Thomas Testorf and Hans Vandeveire, combining their expertise in tech and digital workplace consulting to give you a complete picture.

Let’s start off by briefly defining what Google Workspace with Gemini,  and Gemini Enterprise are.

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What is Gemini?

To put it simply, Gemini is a family of large language models, such as Gemini Pro, Gemini 2.5 Pro, Gemini 2.5 Flash and others. These LLMs are the engine behind Google’s generative AI tools. We interact with these LLMs through the Gemini app or the different interfaces within Google Workspace. 

What is Google Workspace with Gemini?

When Google’s AI assistant, Gemini, is integrated into Google Workspace, the product is called Google Workspace with Gemini. It is a powerful and secure AI assistant that is seamlessly integrated into the Google Workspace applications, such as Gmail, Chat, Sheets, Vids, and Slides. Its primary purpose is to boost productivity and creativity by helping with a variety of tasks, including writing and creating content.

What is Gemini Enterprise? 

Released to general availability on August 1, 2025, under the solution name of ‘Google Agentspace’, Gemini Enterprise is a secure, agentic platform that enables users to integrate AI Agents across their workflows and surface data points across the enterprise.It also serves as a unified search platform, where employees can find information in the company’s systems and use, understand, synthesise, and act upon it. 

For a deeper understanding, explore the in-depth guide on Gemini Enterprise.

II. Google Workspace with Gemini vs. Gemini Enterprise: 10 Differences

In this article, we compare Gemini Enterprise to Google Workspace with Gemini. Although both tools share similar aspects, their capabilities are vastly different. To grasp the full picture, let’s examine 10 differences between them.

1. Core Purpose: AI Assistant vs. Business Ecosystem

Google Workspace with Gemini’s core purpose is to be an AI assistant that enhances user productivity within Google Workspace. It acts as a sidekick, helping you summarise documents or draft emails, but it doesn’t take action on its own. It operates under the user’s command and does not automate processes independently. In contrast, Gemini Enterprise  unites the business ecosystem, designed to go beyond user assistance by using AI agents to automate entire workflows across the organisation.

2. Data Scope: Google Workspace vs. Business-Wide Data

Google Workspace with Gemini draws its knowledge primarily from Google Workspace, public internet and user-supplied context.Whereas, Gemini Enterprise is engineered to operate using the organisation’s own proprietary data, with the advantage of combining information from third-party sources to enhance responses. It unifies information from the relevant, disparate internal applications and systems—such as Jira, ServiceNow, OneDrive, Confluence, Google Workspace and SharePoint— combining this internal knowledge with data from the public web to generate responses.

3. User Interface: Embedded vs. Unified Portal

Google Workspace with Gemini is embedded directly within Google Workspace applications, providing an in-app experience. For example, you can open a Google Doc and ask Gemini to help you draft content or refine a phrase from within the document itself. Gemini Enterprise, by contrast, operates as a single, unified platform. It offers a portal-like experience that allows you to access and synthesise information from multiple systems—including Google Workspace—from one central interface, rather than having to work within each individual application.

4. Core Functionality: Generative AI Tasks vs. Knowledge Hub & Automation

The core functions of Gemini within Google Workspace centre on conversational AI, generating content such as text, images, video, and code, and synthesising information. Gemini Enterprise, on the other hand, is designed for the creation of AI agents, that are grounded in the organisation’s data, on multiple platforms to orchestrate cross-application workflows.

5. Ecosystem: Google Workspace Dependent vs. Ecosystem-Independent

Gemini is integrated into the Google Workspace ecosystem, operating within tools like Gmail, Docs, and Sheets. Gemini Enterprise functions as an ecosystem-independent platform. It connects with and unifies data from multiple business systems, including Microsoft Outlook, Salesforce, SharePoint, Confluence, and Jira, without a dependency on a single vendor’s suite.

6. Data Synthesis: Application-Bound vs. Business-Wide

While Gemini combines information within the Google Workspace applications—such as Gmail, Meet, and Drive—Gemini Enterprise has a unique ability to synthesise data from multiple, disparate systems across the entire business. It does all the searching, finding, merging, and analysing, and the end users receive just one output with links to the different sources. This saves users from manually gathering and assessing data from various platforms. Additionally, Gemini Enterprise provides contextual search that goes beyond simple keywords and can even help identify data quality issues within an organisation.

7. Agentic Capabilities: Minimal vs. Main Focus 

While Google Workspace with Gemini’s agentic features are minimal, Gemini Enterprise is fundamentally designed for broad workflow automation. It enables users to construct no-code and code-built multi-step AI agents that are capable of automating complex processes across entirely different business systems. For instance, an agent can perform proactive actions like extracting information from one source (e.g. Confluence), using it to compose and send an email from another (e.g. Outlook), and then creating a ticket in a third application (e.g. Jira). This way, Gemini Enterprise moves beyond simple tasks to orchestrating complete, cross-application workflows.

8. Maturity: Established vs. Evolving

Gemini is a more mature technology, having evolved through public phases like Bard and Duet AI to achieve established use cases and broader adoption in both consumer and developer spaces. In contrast, Gemini Enterprise is at an earlier stage of its lifecycle. Although now generally available, it is still described as an evolving product. This currently positions it as a tool better suited for early adopters of AgenticAI, who are comfortable working with a platform that is still actively changing.

9. Customisation: Prompting vs. Custom Agents

User customisation for Google Workspace with Gemini is centred on prompt engineering and using ‘Gems’ to save configurations that guide its output.Gemini Enterprise, however, is designed to democratise AI development for business users. Google Cloud’s Agent Development Kit enables AI agents to connect seamlessly to your business systems and corporate data. Users can orchestrate cross-application, Agentic AI-powered workflows to automate tasks and leave employees more time to focus on work that drives real value: strategy, innovation, and relationships. 

10. Pricing: Part of Workspace License vs. Additional Fee

Google Workspace with Gemini is available to anyone with a Google Workspace license. In contrast, Gemini Enterprise needs to be purchased separately, typically for a monthly fee of around $30 per seat. Although an additional fee, Gemini Enterprise can actually help companies save money. Many platforms like Slack or Notion are introducing their own costly, built-in AI features. By implementing Gemini Enterprise to connect data across each business system, companies don’t need to purchase separate AI licenses for each individual application, reducing technical AI debt. This consolidation of AI functionality into a single, unified interface streamlines both workflows and expenses.

Table 1. Google Workspace with Gemini vs. Gemini Enterprise: A Summary of Key Differences

	Google Workspace with Gemini	Gemini Enterprise
Core Purpose	AI Assistant	Agentic AI solution
Data Scope	Web + Google Workspace Data	Web + User-Supplied Data + Business-Wide Data
User Interface	Embedded in the Google Workspace ecosystem	Unified Portal, connecting enterprise-wide data together
Core Functionality	Generative AI Tasks	Knowledge Hub & Automation
Ecosystem	Google Workspace	Ecosystem-Independent
Data Synthesis	Application-Bound	Business-Wide
Agentic Capabilities	Minimal	Main Focus
Maturity	Established	Evolving
Customisation	Prompting	Custom Agents
Pricing	Part of Workspace License	Additional Fee

III. Gemini Enterprise Use Cases

Now that we’ve established the differences between the tools, let’s explore where Gemini Enterprise’s real value comes to life. In this chapter, you’ll find use cases showing how Gemini Enterprise streamlines operations and drives innovation across diverse industries, such as Telecommunications, FSI, Healthcare, and Retail. 

For those interested in a deeper discussion, watch the industry-focused on-demand webinars that showcase how Gemini Enterprise solves the unique needs and challenges that are commonly experienced across each vertical. Find out more below. 

Telco: Proactive Network Management 

For Telecommunication companies, Gemini Enterprise can significantly increase the accuracy and efficiency of issue identification and resolution across operational workflows. 

By building custom agents, a telco provider can analyse near-real-time external data, such as weather signals indicating an approaching storm, and compare it against internally stored historical outage insights. Based on the analysis of current conditions versus past events, the agent can generate actionable steps for field or network officers to review and complete, allowing them to prevent potential service disruptions before they occur and maintain network stability.

FSI: Automated Risk and Policy Management 

Gemini Enterprise enables Financial Services and Insurance (FSI) teams to streamline, accelerate, and automate core tasks from policy and risk management to investment and customer service.

The platform can synthesise an organisation’s internal data with findings from Deep Research to deliver personalised client investment options, adjust policies based on new compliance regulations, or identify emerging risks across portfolios. 

Furthermore, Gemini Enterprise simplifies automation by allowing users to orchestrate custom AI agents that speeds up and automates functions such as loan processing and claim management.

Healthcare: Better Patient Outcomes

In the Healthcare sector, Gemini Enterprise addresses the critical challenge of disparate patient data by securely unifying compliant information from various sources into a single platform.

Through the use of autonomous AI agents, healthcare organisations can leverage predictive analytics to improve both operational efficiency and patient outcomes. Operationally, these agents can forecast key metrics like bed availability for better resource management. Clinically, they provide healthcare practitioners with near real-time, data-driven insights to help formulate more effective treatment plans, ultimately enabling the provision of more efficient and effective care.

Retail: Optimised Supply Chain 

In the Retail industry, Gemini Enterprise can optimise both demand generation and supply chain management.

Retailers can easily configure agents to analyse near real-time data from sources like social media and competitor offers to predict popular items. Then, they can use internally stored customer purchase history to create targeted promotional offers. On the supply side, custom-built agents can assess supplier performance, seasonal price fluctuations, and sustainability metrics to proactively suggest cost-effective, high-quality substitutions. This allows a business to either reduce expenses or improve its supply chain resilience.

IV. Conclusions

Ultimately, the choice between Google Workspace with Gemini and Gemini Enterprise is not about competing tools, but about selecting the right one for the job. Gemini excels as the embedded AI assistant for productivity within Google Workspace, and Gemini Enterprise is an all-encompassing business platform designed for employees to harness business intelligence across all systems, including Google, Microsoft, and others, to unify data and automate cross-app  workflows. If your company’s knowledge is trapped across many different systems, or if your critical workflows require employees to jump between applications—Gemini Enterprise  solves that exact problem. 

Engaging with Gemini Enterprise now not only prepares your workforce for the Agentic AI future but also empowers them to create, share, and operate AI agents all in one secure platform.

Ready to explore how Gemini Enterprise can unify your technology landscape and incorporate Agentic AI across your business processes? Start embedding Agentic AI across your workflows with Devoteam’s Google Cloud experts today and help your teams work smarter. Get in touch!