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Agent Builder, Copilot Studio or Foundry: Which platform fits?

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A practical comparison of Microsoft agent platforms, from knowledge-based assistants to automated business processes and custom architectures.

TL;DR

Microsoft 365 Copilot Agent Builder suits knowledge questions and document retrieval, Copilot Studio adds connectors, actions and process automation, while Microsoft Foundry targets custom architectures, model control and advanced multi-agent orchestration. The recommended approach is to start with the simplest platform that meets the business need, then add complexity only when required.

Original by Ramón Rautenstrauch, on Consultor 365. Read the original

This is our own summary, not a republication or full translation.

Why it matters

  • Makers: Start knowledge-focused experiments in Agent Builder, then use Copilot Studio when an agent must connect to business applications, trigger flows or update records.
  • Admins/IT: Define the connectors, actions and sharing boundaries available in Copilot Studio, because the platform supports more active business processes.
  • Leadership/Business: Select platforms by business outcome, data access, autonomy and technical control instead of choosing the most powerful option by default. Microsoft reports internal growth from about 2,000 to 20,000 active monthly agent creators, but those results are not guaranteed elsewhere.

Frequently asked questions

When should I use Microsoft 365 Copilot Agent Builder for an agent?

Agent Builder fits agents that search authorised knowledge sources, answer questions, summarise documents or interpret existing Microsoft 365 content without complex actions.

How does Copilot Studio let an agent act on business processes?

Copilot Studio connects agents to enterprise applications through connectors and actions, allowing them to retrieve data, update records, trigger workflows and interact with other systems.

When is Microsoft Foundry more suitable than Copilot Studio for agents?

Foundry is more suitable when developers need custom architectures, specific models, multi-agent orchestration, proprietary services or advanced observability and evaluation.

This post is licensed under CC BY 4.0 by the author.