AI agents

Copilot Studio vs n8n: when each one fits

Both platforms build AI agents and automations. What separates them is who uses the result, where it runs and who operates it. Below: the criteria, the limits of each one, and the cases where you should pick neither.

A decision with two branches, one to a Copilot Studio agent in Teams and one to an n8n workflow in Azure

The request often arrives as "we want agents", with the platform still open. Copilot Studio and n8n both come up, because both offer AI agents, connectors and workflows. We work with both, and we choose by asking three questions: who uses the result, where it has to run, and who operates it once it is delivered.

IN SHORT

Copilot Studio when people work with the agent in Teams or Microsoft 365 Copilot and the agent may access only the data each user has access to. n8n when the automation runs between systems, with no person in the conversation, and has to be hosted in your own Azure subscription. When the process is not yet written down, pick neither.

What does each platform do?

Copilot Studio is Microsoft’s platform for building AI agents and workflows. An agent is published to Teams, Microsoft 365 Copilot, SharePoint or a website. It connects to other systems through Power Platform connectors, REST APIs and MCP servers. By default, users sign in with their Microsoft Entra account and connectors act with that user’s permissions.

n8n is a workflow automation platform. It has hundreds of nodes for external systems, an HTTP Request node for any API, and JavaScript or Python code where no node exists. It also has AI agent nodes, with models from OpenAI, Anthropic or Google. It can run on your own infrastructure; we deploy it in containers in the client’s Azure subscription.

On features alone, the two overlap heavily. Three things separate them: who is in the conversation, where it runs, and who is accountable for operating it.

When does Copilot Studio fit?

Copilot Studio fits when a person works with the agent:

  • The conversation happens in Teams or Microsoft 365 Copilot. The agent is published there directly, with no separate interface to build.
  • The agent may access only the user’s data. Connectors authenticate on behalf of the user, and actions appear in the audit log under that user’s name.
  • IT wants central control. From the Power Platform admin center, data policies block connectors, HTTP requests or publishing to specific channels, environment by environment.
  • The data is already stored in Microsoft 365 and Dataverse. SharePoint, Outlook, Teams and Dataverse have Microsoft connectors with Entra authentication.

This is how we build our own agents: the agent searches the catalogue, extracts the request from a sentence and proposes a record on a card. Nothing is saved until a person confirms it. We have two demonstrated agents, for purchasing and IT tickets, and two approval workflows in pilot where a Copilot Studio agent handles the data entry.

When does n8n fit?

n8n fits when the automation runs between systems, with no person in the conversation:

  • The workflow starts from an event. A new invoice in a supplier portal, an uploaded file, a webhook call, a time of day.
  • Most systems are outside the Microsoft stack. On-premises ERPs, online shops, carriers, APIs with no Power Platform connector.
  • The data has to stay on your infrastructure. Deployed in your Azure subscription, n8n processes the data there, with credentials in Azure Key Vault.
  • Licence cost matters at volume. The Community edition, without a licence key, is free; you pay for the Azure infrastructure it runs on.

We run n8n ourselves, in containers on Azure, internally, with no exposure to the internet. The deployment details are on the self-hosted n8n in Azure page.

Limits of Copilot Studio

  • Cost depends on how the agent is designed. Usage is measured in Copilot Credits. When a reasoning model runs the agent, billing follows the tokens processed, including instructions, conversation history and retrieved results, so a few long exchanges can consume many credits. Users with a Microsoft 365 Copilot licence are not billed when they use the agent in Teams; autonomous agents started by an event consume credits regardless of licences.
  • It runs only in Microsoft’s cloud. The agent runs in Azure datacenters, in the region of its Power Platform environment. Access to a system on your local network requires the on-premises data gateway.
  • Non-Microsoft systems take extra work. For connectors to external systems, Microsoft states that responsibility for the data sits with the agent maker. An API without a connector needs a custom connector.
  • Data policies apply to existing agents too. A connector blocked by a policy stops publishing of any agent that uses it. Check the policies before going to production.

Limits of n8n

  • Operations are yours. The n8n documentation leaves database configuration, users, security, monitoring and updates to whoever hosts it. Someone has to own them after delivery.
  • The Community edition lacks the enterprise features. Single sign-on (SAML or LDAP), separate environments, Git version control, external secrets, sharing workflows between users and log streaming come only with the Business or Enterprise licence.
  • Workflows do not inherit the user’s permissions. An n8n workflow runs with the credentials stored in it. If an n8n agent has to act with each person’s permissions, that mechanism must be built separately.
  • The licence restricts resale. The n8n licence allows use for your own internal business purposes. Distributing it to others is allowed only free of charge and for non-commercial purposes.

Both platforms can require a person’s approval before an action: in Copilot Studio through cards and approval steps; in n8n through approval of an AI tool call, requested in Teams, Outlook or Slack.

When does neither fit?

  • The process is not written down. If nobody can say who approves, what goes in and what comes out, the agent has no rules to work by. Write the process first.
  • The workflow copies data between Microsoft 365 apps, with no AI. Microsoft 365 licences include Power Automate with standard connectors, which covers this without a new platform.
  • The same decision repeats at high volume. Classifying thousands of documents a day or extracting data from receipts is done with a model in Microsoft Foundry, called from a workflow, with a confidence threshold below which a person decides.
  • The application needs its own interface and complex rules. Build an application, in Power Apps or as custom software, and put the agent on top of it.

Can they work together?

Yes. n8n can act as an MCP server, exposing workflows as authenticated tools. Copilot Studio can add an existing MCP server as a tool for an agent. The user talks to the agent in Teams, and the agent calls the n8n workflow that writes to the ERP. Access to the MCP server uses Power Platform connectors, so the administrator’s data policies apply here as well.

Questions

Which one costs less? It depends on who uses the automation and how often. Copilot Studio consumes Copilot Credits, bought as prepaid capacity or billed pay-as-you-go; users with a Microsoft 365 Copilot licence are not billed when they use the agent in Teams. n8n Community has no licence cost, but it has infrastructure and operating costs.

Can we start on one and move to the other? The process logic carries over: the steps, the rules, the systems. The workflows themselves are rebuilt, because the formats differ between platforms.

Does the data leave the organisation? With Copilot Studio, data stays in the region of the Power Platform environment, in Microsoft’s cloud. With n8n in your own Azure subscription, data stays in that subscription, apart from the calls you configure to external services, including AI models.

Sources

Not sure which platform you need?

We start from the process: who makes the request, which systems are involved, where the data has to stay. The platform follows from those answers.

Denis Stadler

Founder of Stadler & Partners. AI specialist and Agentic AI solution architect on Azure, Azure DevOps, SharePoint, Dynamics 365 and Power Apps. Writes about Microsoft 365 features as they work in production.

About Denis

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Denis Stadler
The first call is with Denis Stadler.Founder · AI Architect & Fractional CTO