Microsoft Copilot Studio vs. Google Agentspace: Which Enterprise AI Platform Should You Choose?

Choosing the right AI platform isn’t always easy. The platform has to work with the data, tools, and business systems a company already uses.

This is exactly what makes the whole Microsoft Copilot Studio vs. Google Agentspace comparison interesting. 

Microsoft Copilot Studio focuses on building and managing AI agents and workflows that can connect with business data and systems. Whereas, Google Agentspace has now become a part of Google’s Gemini Enterprise offering. 

For companies looking for AI agent platforms, features are only one part of the big decision. For instance, where your data lives, what tools your employees already use, how agents connect with business systems, and how you manage them all matter. 

So, which platform is the better fit? Well, let’s look at how they compare and where each one makes sense.

What is Microsoft Copilot Studio?

In simple language, Microsoft Copilot Studio is a low-code platform that organizations can use to build and manage AI agents and their day-to-day workflows. 

Companies basically connect these agents with company data and business systems to answer questions, complete tasks, and support various business processes. 

One of the useful things about Copilot Studio is that companies don’t have to build everything from scratch. They can simply connect AI agents with existing applications and services through built-in or custom connectors. Also, workflows can be added when a process needs to follow a more fixed set of steps. 

If a company already uses Microsoft tools, teams can do everything in Copilot Studio like building AI agents, connecting them with business data, and bringing AI into the existing workflows.

What is Google Agentspace (Now Part of Gemini Enterprise)?

Google Agentspace was an enterprise AI platform that organizations could use to bring company information, AI search, and AI agents together in one place. Companies could basically use it to search across enterprise data, ask questions, work with company information, and use AI agents for different tasks.

However, Google Agentspace is now a part of Gemini Enterprise. The agent creation and orchestration technology behind Agentspace now powers the core features of Gemini Enterprise.

What stands out about Gemini Enterprise is that companies can connect it with data from different business systems. Say it includes connectors for applications such as Microsoft SharePoint, Jira, Confluence, and ServiceNow. Once it’s done, employees can then easily search enterprise information, ask questions, and work with AI agents from the same platform. 

So, companies can basically use Gemini Enterprise to bring enterprise search, AI assistance, company data, and AI agents together in one place.

Microsoft Copilot Studio vs. Google Agentspace: An In-depth Comparison

Microsoft Copilot Studio vs. Google Agentspace: Core Platform Comparison

1. AI Agent Building and Customization

Both Microsoft Copilot Studio and Gemini Enterprise give companies ways to create AI agents. However, the way teams build and customize those agents is slightly different.

Let me explain how. 

Microsoft Copilot Studio

From creating AI agents without having to actually write code to summarizing a document, teams can get a lot of work done with Microsoft Copilot Studio. For example, teams can simply describe what they want the agent to do in natural language and then gradually build from there. The plus point is that Microsoft provinces a visual experience for teams that want more control over how their agents work. 

Also, companies can decide what information an agent should use. Knowledge sources usually include SharePoint, OneDrive for Business, websites, uploaded files, Salesforce, ServiceNow, and other sources. The agent then uses this information when answering questions. 

Teams can further customize an agent with instructions, knowledge sources, tools, and structured conversation flows. So, there is room to start simple and add more control when the use case needs it. 

Google Agentspace / Gemini Enterprise

Google Agentspace is now part of Gemini Enterprise, and companies can create custom AI agents using its Agent Designer. It provides a no-code and low-code experience where teams can describe an agent in natural language and define what they want it to do.

Teams can also connect agents with Google and external data sources and tools, including Gmail, Google Drive, and Jira. For more complex work, the visual Flow canvas can be used to build multi-step agents and work with sub-agents. 

So, Gemini Enterprise also gives teams the option to start with a simple agent and then add more steps and logic when the task becomes more complex. Its Workflow Builder provides more direct control over the agent’s design and logic for complex, multi-step agents.

2. Enterprise Search and Knowledge

Company information is usually spread across different applications, documents, websites, and business systems. So, an AI agent needs a way to find the right information before it can give employees a useful answer.

Microsoft Copilot Studio

With Microsoft Copilot Studio, companies can connect AI agents with different knowledge sources. These can include SharePoint, Dataverse, company documents, websites, and enterprise data available through connectors. 

Employees can then ask the agent questions based on this connected company information. For instance, the agent can search the knowledge sources connected to it and use the relevant information to answer the question. 

Another important thing is access. When a knowledge source uses Microsoft Entra ID authentication, the agent only shows information that the employee already has permission to access. 

Google Agentspace / Gemini Enterprise

This is where Gemini Enterprise takes a slightly different approach. Google describes it as an intranet search, AI assistant, and agentic platform that works with data from across an organization.

Companies can connect sources such as Google Drive, Gmail, Google Sites, Microsoft SharePoint, Jira, Confluence, and several other business applications. Employees can then search and work with information from these connected sources through Gemini Enterprise. 

Access to company information is also based on permissions. Google uses the configured identity provider to identify the person making the search and check whether that person has access to the documents returned in the results.

3. Data and Business System Connections

AI agents become more useful when they can work with the data and applications a company already uses. Both Microsoft Copilot Studio and Gemini Enterprise provide connectors to make this possible, but they connect into different ecosystems.

Microsoft Copilot Studio

With Microsoft Copilot Studio, companies can connect AI agents with Microsoft and non-Microsoft business systems. For instance, connectors are available for Microsoft 365, SharePoint, Dynamics 365, Salesforce, and Google services.

Companies can also create custom connectors when a ready-made connector is not available. These custom connectors can connect Copilot Studio with publicly available APIs, which gives companies another way to bring their existing systems into an AI agent.

Another useful part is that these connections are not only for getting information. Microsoft says connectors can also be used as tools for agents to perform actions in external services and applications.

Google Agentspace / Gemini Enterprise

Companies may already have important data sitting in different tools. Gemini Enterprise can connect with Google applications as well as other platforms like Microsoft SharePoint, Jira, ServiceNow, and Slack.

These connectors basically bring information from different business systems into Gemini Enterprise. Depending on the connector, data can either be retrieved directly from the source through federation or copied into the Gemini Enterprise index through data ingestion. 

For companies that need to connect private data or internal tools where a standard connector is not available, Gemini Enterprise Business edition also supports custom MCP server connections.

4. Workflow Automation

Apart from answering simple questions, in many cases, companies also want these AI agents to actually get some work done. This is where automation truly makes a difference. 

Microsoft Copilot Studio

Teams can easily create workflows for repetitive tasks and connect them with their existing applications and services they are using. A workflow can start manually, on a schedule, or when another event or agent triggers it. 

Now, these workflows can include AI actions, agents, connectors, and other regular business logic. Let’s say, a workflow could process a document, call an agent, get information from another system, and then move to the next step. 

We cannot completely negate human involvement in this process. Microsoft supports human-in-the-loop actions where a workflow can stop and ask a person for information before moving ahead. 

Google Agentspace / Gemini Enterprise

Gemini Enterprise takes almost the same approach through Workflow Builder. So in this the teams basically can create workflows with triggers, steps, and actions instead of relying on the AI agent to handle the whole process on its own.

Companies can choose to build both simple and multi-step workflows. These workflows can combine AI automation with basic human involvement and can also connect with Google, 3rd-party, and other custom data sources and tools. 

To explain in a better way, AI could prepare something as part of a workflow, while a person still needs to approve it before it’s published. So, companies don’t have to choose between full automation and manual work.

5. Integration With the Existing Ecosystem

The tools a company already uses can make a big difference when choosing an AI platform. After all, most companies don’t want to replace their existing setup just to bring AI into the business.

Microsoft Copilot Studio

Microsoft Copilot Studio fits closely with the wider Microsoft environment. Companies can connect agents with Microsoft services such as Microsoft 365, SharePoint, and Dynamics 365 through connectors. The same connector system also works with non-Microsoft services. 

Teams also have different options for where they make these agents available. Microsoft supports publishing Copilot Studio agents to Microsoft Teams and Microsoft Copilot, as well as SharePoint and websites. 

So, for a company that already has much of its work happening inside Microsoft tools, Copilot Studio can build on many of the applications and services already in place.

Google Agentspace / Gemini Enterprise

Gemini Enterprise naturally connects with the Google ecosystem. Google says it works with Google Workspace, and agents can work across applications such as Docs and Gmail. 

However, companies are not limited to Google tools alone. Gemini Enterprise can also connect with business systems such as SAP and Salesforce, and Google says the platform can securely connect to Microsoft 365 as well. 

This basically means companies can keep using many of the systems they already depend on while bringing AI agents into the same setup.

6. Security and Governance

Security is something companies have to think about early when AI agents start using real business data. After all, an agent may be working with documents, internal systems, or information that everyone in the company should not be able to see.

Microsoft Copilot Studio

With Microsoft Copilot Studio, admins can decide how agents are allowed to work with company data. Microsoft provides data policies that can be used around things like knowledge sources, connectors, authentication, actions, and even where an agent can be published. 

There is also Microsoft Purview. It supports security and compliance capabilities for Copilot Studio AI interactions, including auditing, sensitivity labels, data classification, and data loss prevention. 

This can be useful for companies that already have Microsoft security and governance tools in place. Instead of treating AI agents as a completely separate area, they can use some of the Microsoft controls they are already familiar with. 

Google Agentspace / Gemini Enterprise

With Gemini Enterprise, access is managed through Google’s identity and permission controls. Google Cloud IAM lets companies control who gets access to Gemini Enterprise resources and what they are allowed to do. 

Google also has controls for protecting the data itself. Gemini Enterprise supports VPC Service Controls and encryption options, along with audit logging and access transparency. 

Admins can also put conditions around access. For instance, a company can have rules based on an employee’s device security or location.

7. AI Models and Flexibility

The AI model working behind an agent can also matter. One agent may need to handle a simple conversation, while another may need stronger reasoning for a more complicated task. So, having some choice here can be useful.

Microsoft Copilot Studio

Microsoft Copilot Studio gives teams the option to choose the AI model for an agent. The available models include options from OpenAI, such as GPT-5 Chat, along with other models depending on availability and region.

Microsoft has also added Anthropic models to Copilot Studio. This means teams can work with OpenAI or Anthropic models for different agent scenarios rather than having every agent depend on the same model.

The idea is fairly simple. Teams can choose a model depending on what they want the agent to do, while admins still have controls over which model options are available in their environment. 

Google Agentspace / Gemini Enterprise

On the Google side, Gemini Enterprise Agent Platform provides access to Google’s Gemini models as well as partner and open-weight models. This includes models from providers such as Anthropic, along with open models like Llama and DeepSeek. 

Google also provides Model Garden, where teams can discover, test, and deploy different first-party, partner, and open models.

So, companies using Google’s platform are not necessarily limited to Gemini models either. They have different model options depending on what they are building.

8. Deployment and Where Employees Can Use Agents

Building an AI agent is one thing. But employees also need an easy way to actually find and use it during their regular work. This is where deployment becomes an important part of the comparison.

Microsoft Copilot Studio

Once an agent is ready in Microsoft Copilot Studio, companies can publish it across different channels. These include Microsoft Teams, Microsoft 365 Copilot, websites, mobile apps, and other supported messaging platforms. 

For companies already using Microsoft 365, Teams can be a practical place for employees to use these agents. A published agent can be made available in Teams and Microsoft 365, and organizations can also submit agents for admin approval before making them available more widely.

This basically gives companies some choice. An internal agent can sit closer to where employees already work, while other agents can be published to channels such as a company website when the use case is different.

Google Agentspace / Gemini Enterprise

With Gemini Enterprise, employees mainly access agents through the Gemini Enterprise experience. The platform is available as both a web app and a mobile app, where employees can search company data, talk with assistants, and use agents. 

Companies can also decide who gets access to a particular agent. Admins can share agents with individual employees, groups, or everyone in the organization. 

There is also an Agent Gallery where employees can find Google-made agents, tools shared by their organization, and custom agents created for their company.

9. Pricing and Cost

Pricing is another area where the comparison gets a little tricky. Companies are not simply paying for access to an AI platform. The final cost can also depend on how the agents are built, how often they are used, and which features they use.

Microsoft Copilot Studio

Microsoft Copilot Studio gives companies a few ways to pay. There is a pre-purchase option for Copilot Credits as well as pay-as-you-go pricing plans for companies that want their cost to follow actual usage.

Copilot Credits are basically the unit Microsoft uses to measure agent usage. How many credits an agent uses depends on things such as its design, how often people interact with it, and the features being used.

There is another point worth considering for companies already paying for Microsoft 365 Copilot. Microsoft currently lists it at $30 per user per month when paid yearly in the US, and it includes Copilot Studio capabilities for creating internal agents that work within Microsoft 365.

Google Agentspace / Gemini Enterprise

Gemini Enterprise takes a more edition-based approach. Google currently offers Business, Standard, Plus, Pay-as-you-go, and Frontline editions, and the features and included capacity vary between them. 

For example, the amount of storage and data indexing available per user changes depending on the edition. Some capabilities, including access to the full connector ecosystem and certain enterprise security features, also vary by edition. 

Google also provides a Pay-as-you-go edition, so companies don’t necessarily have to follow the same purchasing model for every deployment.

Microsoft Copilot Studio vs. Google Agentspace: Which One Should You Choose?

There isn’t one platform that will make sense for every company. A lot depends on the tools your employees already use, where your business data sits, and what you actually want your AI agents to do.

Microsoft Copilot Studio may make more sense when:

• Microsoft 365 is already a big part of how employees work.
• Teams are already working with tools such as Microsoft Teams, SharePoint, Dynamics 365, and other Microsoft services.
• You want AI agents to work with existing Microsoft data, applications, and workflows.
• Your company already has Microsoft security and governance tools in place.
• You want the option to make agents available through Microsoft Teams, Microsoft 365 Copilot, websites, or other supported channels.

Google Agentspace / Gemini Enterprise may make more sense when:

• Google Workspace and Google Cloud already play a big role in your company.
• Employees work with company information across tools such as Gmail, Drive, and Google Sites.
• Enterprise search is an important part of what you want from AI.
• Your teams are already building around Google’s cloud and AI environment.
• You want employees to find and work with agents through the Gemini Enterprise web or mobile experience.

Conclusion

Evaluate the Right Enterprise AI Platform for Your Business

Identify the right use case, platform, integrations, controls, and success metrics for your first enterprise AI agent.

FAQs

1. What is the main difference between Microsoft Copilot Studio and Google Agentspace?

The main difference comes down to how each platform fits into the wider technology environment. Microsoft Copilot Studio is closely connected with Microsoft’s ecosystem and focuses on building and managing AI agents and workflows. Google Agentspace, which is now part of Gemini Enterprise, brings together enterprise search, AI assistance, and AI agents.

2. Is Google Agentspace now part of Gemini Enterprise?

Yes. Google Agentspace is now part of Gemini Enterprise. Google says the agent creation and orchestration technology behind Agentspace now powers core features of Gemini Enterprise.

3. Which is better for AI agents, Microsoft Copilot Studio or Google Agentspace?

There isn’t one answer for every company. Microsoft Copilot Studio may make more sense when your business already works heavily with Microsoft tools. Gemini Enterprise is worth considering when Google Workspace and Google’s cloud environment already play an important role in the business. Both platforms also connect with third-party systems.

4. Can Microsoft Copilot Studio connect with non-Microsoft applications?

Yes. Microsoft Copilot Studio isn’t limited to Microsoft applications. Power Platform connectors can connect agents with Microsoft services as well as non-Microsoft services such as Salesforce and Google services. Companies can also create custom connectors for publicly available APIs.

5. Can Gemini Enterprise connect with Microsoft 365 data?

Yes. Gemini Enterprise supports connections with Microsoft tools, including SharePoint, Teams, OneDrive, and Outlook. This means companies using a mix of Google and Microsoft technologies are not necessarily limited to one ecosystem for their enterprise data.

6. Do Microsoft Copilot Studio and Gemini Enterprise support low-code AI agent development?

Yes. Microsoft Copilot Studio provides natural-language and visual tools for creating agents, while Gemini Enterprise provides an Agent Designer for creating and managing agents with no-code and low-code options.

7. Can Microsoft Copilot Studio agents be used in Microsoft Teams?

Yes. Once an agent is published, companies can make it available to employees through Microsoft Teams and Microsoft 365 Copilot. Copilot Studio agents can also be published to other supported channels, including websites and mobile apps.

8. What should companies consider when choosing an enterprise AI agent platform?

Start with what your company already has. Look at where your business data lives, which applications employees use every day, what systems the AI agents need to connect with, and how security and access are currently managed. From there, it becomes much easier to see whether Microsoft Copilot Studio or Gemini Enterprise fits more naturally into your existing environment.