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Microsoft 365 Copilot vs. Copilot Studio: What’s the Difference?
Microsoft has no shortage of AI tools, and while they all promise to make work easier, figuring out which one to use isn’t always so straightforward.
Microsoft 365 Copilot, Agent Builder, and Copilot Studio each serve a different purpose, from helping employees get through their to-do lists to automating entire business processes.
So, which one does your business need for the task at hand? Let’s break down the differences, look at some real-world use cases, and help you figure out where to start.
What Is the Difference Between Microsoft 365 Copilot and Copilot Studio?
Microsoft 365 Copilot is an AI assistant built into the Microsoft 365 environment. It works within applications such as Word, Outlook, Teams, Excel, and PowerPoint to help employees find information, create content, analyze data, and complete everyday tasks more efficiently.
Microsoft Copilot Studio is a low-code platform for building and managing customized AI agents. It gives you more flexibility to design agents around specific business processes, define the actions they can take, build more advanced workflows and integrations, and control how those agents are deployed and managed.
The distinction becomes a little less clear when you start looking at AI agents. Copilot Studio is specifically designed for building and managing AI agents, but Microsoft 365 Copilot also includes Agent Builder for creating simpler agents without moving into Copilot Studio. Agent Builder can be a good fit for simpler agents that help people find and work with information, whereas Copilot Studio is better suited to agents that need to take action, support more complex workflows, or require greater customization and control.
To put it simply, think of Microsoft 365 Copilot as your AI assistant that can help you prepare for a meeting, create a presentation, and summarize the discussion afterwards. With Copilot Studio, you could build an AI agent that reviews customer meeting notes, identifies outstanding requests, and determines the appropriate next steps, such as creating support tickets or assigning follow-up tasks to the right teams.
Microsoft 365 Copilot vs. Copilot Studio
| Microsoft 365 Copilot | Microsoft Copilot Studio | |
| What is it? | An AI assistant that works across Microsoft 365 apps and your work data | A low-code platform for building and managing custom AI agents |
| What is it used for? | Helping employees with everyday work, such as finding information, creating content, summarizing, and analyzing | Building agents that support specific business processes and more advanced automation |
| How is it used? | Employees interact with Copilot as part of their day-to-day work in Microsoft 365 | Organizations design and deploy agents for specific use cases, processes, and audiences |
| Can you build agents? | Yes. Agent Builder lets you create simpler, focused agents using natural language and defined knowledge sources | Yes. Copilot Studio provides more advanced agent-building capabilities, including actions, multi-step workflows, and custom integrations |
| How customizable is it? | More standardized, with some customization available through Agent Builder for focused use cases | More customizable, with greater control over agent behaviour, workflows, integrations, and how agents are managed |
When Should You Use Microsoft 365 Copilot vs. Copilot Studio?
Start by defining the business problem you want to solve and the role you want AI to play in addressing it. Do you want AI to help someone find and work with information, or do you need an agent to take action and support a broader business process?
Once you understand the job you want AI to do, you can determine how much functionality, customization, and governance the use case requires, and which Microsoft tool is best equipped to support it.
When Microsoft 365 Copilot Makes Sense
Microsoft 365 Copilot is generally a good fit when the problem you’re trying to solve is tied to everyday knowledge work within the applications your employees already use.
For example, you could use Copilot to:
- Catch up on meetings: Summarize discussions and identify action items in Teams.
- Analyze data: Explore information in Excel to identify trends and patterns.
- Create presentations: Draft a PowerPoint presentation using an existing document.
- Find information faster: Search across documents, emails, and other information in your Microsoft 365 environment.
Microsoft’s 2026 Work Trend Index Report found that 49% of more than 100,000 analyzed Microsoft 365 Copilot conversations supported cognitive work such as analyzing information, problem-solving, evaluating, and creative thinking.
Agent Builder can take these capabilities further when you have a more focused need. An HR team, for example, could create an agent that answers common questions using approved policies stored in SharePoint. A sales team could create one that helps them quickly find answers across product information, sales materials, and other approved resources. These types of focused, information-based use cases can often be addressed without the more advanced capabilities available in Copilot Studio.
When Copilot Studio Makes Sense
Copilot Studio becomes more relevant when you need an agent to take action as part of a broader business process. That could mean performing several steps in sequence, triggering an approval, updating a record, creating a support ticket, or carrying out other actions as part of a defined workflow. More advanced use cases may also require custom integrations with the systems and data involved in that process.
For example, you could use Copilot Studio to build agents for:
- Internal IT support: An agent that answers employee questions and automatically creates support tickets when additional help is needed.
- Customer service: An agent that retrieves account information, updates customer records, and escalates issues to an employee based on predefined conditions.
As an agent takes on more responsibility within a process, you also need greater control over how it is built, deployed, monitored, and governed. Copilot Studio provides more advanced options for managing those requirements as agents become more sophisticated or are used more broadly.
A good example comes from our work with Socotra Capital. Its lending team previously had to manually review borrower documents, property information, public web data, and other sources before making lending decisions.
Convverge built Agent PAT, a custom AI agent in Copilot Studio that brings these sources together, actively researches borrowers and properties, flags potential adverse findings, and produces a structured credit memo with risk indicators and links back to its sources. The agent supports the process at several stages, from identifying potential problems before a deal reaches the loan committee to creating the final approval document.
This use case required AI to do more than help an employee find or summarize information. The agent needed to consistently work across multiple sources, perform research, apply a defined review process, surface potential risks, and create a standardized output that employees could use to make decisions. Those requirements made Copilot Studio a better fit for the solution.
When You Might Use Both
For many organizations, Microsoft 365 Copilot serves as the broader AI assistant employees use throughout their day. It can support common productivity tasks across Microsoft 365 without requiring a custom solution for each one.
Copilot Studio can then support specific processes that need an agent to take action or follow more complex workflows. For example, a finance employee might use Copilot to prepare for a meeting or analyze a spreadsheet, while a custom agent built in Copilot Studio handles a multi-step reporting or approval process.
You can also start with a simpler agent and expand it as your requirements change. Microsoft allows agents created in Agent Builder to be copied into Copilot Studio, preserving their core instructions and configuration while giving you access to more advanced capabilities. This can be useful when an agent that initially helped people find and work with information begins to require additional actions, workflows, integrations, or governance.
Preparing Your Business for Copilot and AI Agents
Once you have a potential use case in mind, there’s another question to answer: is your environment ready to support it?
Start by looking closely at the process itself. You should be able to explain what problem you want AI to solve, who is involved today, what information they rely on, and what a better version of that process would look like. If you’re still identifying opportunities, our guide to choosing your first AI agent use case walks through what makes a process a good candidate for an agent.
From there, consider the data and systems the solution will rely on. The quality and reliability of AI outputs depend on the information the technology can access, which makes data quality, permissions, and clearly defined sources of truth important foundations. If an agent needs to interact with other business applications, you’ll also need to understand how those systems connect and what actions the agent should be allowed to perform.
Governance becomes increasingly important as you give AI agents greater access and responsibility. Deloitte’s 2026 State of AI in the Enterprise research surveyed 3,235 business and IT leaders across 24 countries and found that 74% expect their organizations to deploy agentic AI within two years, while only 21% report having a mature governance model for autonomous agents. As organizations continue to expand their use of AI agents, governance will need to keep pace with how quickly those agents are being introduced and the responsibilities they’re being given.
That governance should address questions such as who owns the agent, what information it can access, where human approval is required, and how its performance will be monitored over time. If you’re beginning to move agents beyond experimentation, our practical AI governance framework covers these considerations in more detail.
Finally, consider the people who will use the technology. Employees need to understand what the tools are designed to help with, how they fit into their existing work, and where their own judgment is still required. Planning for training and adoption early can help ensure the solution becomes part of the process rather than another tool employees are expected to figure out on their own.
Frequently Asked Questions
Is Copilot Studio Included With Microsoft 365 Copilot?
Microsoft 365 Copilot includes some tools for building agents, including Agent Builder, but the full capabilities of Copilot Studio are separate. Licensing can vary depending on what you want to build and how the agent will be used, so check Microsoft’s current licensing guidance for your specific use case.
Do I Need Copilot Studio to Build an AI Agent?
No. Agent Builder within Microsoft 365 Copilot lets you create simpler agents using organizational knowledge and other information sources. Copilot Studio provides additional capabilities when an agent needs to take actions, support more complex workflows, use custom integrations, or require more advanced management and governance.
Can Microsoft 365 Copilot and Copilot Studio Work Together?
Yes. You can use Microsoft 365 Copilot for everyday work across your organization while using Copilot Studio to build agents for specific business processes that require more advanced capabilities. An agent created in Agent Builder can also be copied into Copilot Studio if its requirements become more complex.
When Should a Business Use Copilot Studio?
Copilot Studio makes sense when you need an agent to take action or support a more complex business process. This can include updating records, triggering approvals, carrying out multi-step workflows, using custom integrations, or requiring more advanced deployment and governance controls.
Finding the Right Fit for Your AI Use Case
Deciding how to use these tools in your business starts with understanding what you want to improve. Look at the people involved in the process, the information they need, the systems they use, and what you want AI to help them accomplish.
For everyday productivity and knowledge work, Microsoft 365 Copilot may provide what you need. If you want to create a focused agent that helps people work with information, Agent Builder can extend those capabilities. When the use case requires an agent to take action, support more complex workflows, or operate with greater customization and control, Copilot Studio gives you the tools to build and manage a more advanced solution.
If you’re working through those decisions, explore Convverge’s Microsoft AI consulting services to learn how we can help you identify practical AI use cases, assess your readiness, and determine the right approach for your business.
