What you can build
Common Copilot Studio projects include HR policy assistants, IT support agents, onboarding copilots, customer FAQ agents, and process-specific assistants that call Power Automate flows or other business systems.
Learn Microsoft Copilot Studio with tutorials for topics, knowledge sources, actions, triggers, publishing, governance, and business agents.
Browse all 52 articlesMicrosoft Copilot Studio is where Microsoft 365 and Power Platform teams design, test, publish, and improve custom agents for employees, customers, and operations. It brings together generative AI, conversation topics, knowledge sources, actions, analytics, and channel publishing in one low-code experience. The platform is approachable for makers, but successful agents still need thoughtful architecture: clear use cases, reliable knowledge, secure data access, measurable outcomes, and a realistic plan for iteration.
This hub collects practical nextM365 guidance for building Copilot Studio agents that answer useful questions, complete business tasks, and integrate with Microsoft 365 services. The focus is not only on where to click, but also on why each design choice matters. You will find beginner setup guidance, comparisons with older chatbot approaches, licensing notes, scenario walkthroughs, and the 365 Days of Copilot Studio learning series.
Use this page as a starting point when you need to understand how topics, knowledge, variables, entities, triggers, and actions fit together. If you are planning an HR assistant, IT help desk agent, employee knowledge bot, or internal service desk experience, start with the scenario articles, then move into topics, knowledge sources, and testing patterns.
Common Copilot Studio projects include HR policy assistants, IT support agents, onboarding copilots, customer FAQ agents, and process-specific assistants that call Power Automate flows or other business systems.
Before publishing an agent, define the audience, source of truth, authentication needs, escalation path, analytics review rhythm, and ownership model. These choices usually matter more than the first draft of the conversation.
Begin with setup and licensing, then study topics, knowledge sources, triggers, variables, entities, actions, testing, and publishing. The 365 Days series follows this progression in smaller daily lessons.
Learn how version management keeps Copilot Studio agents reliable, including draft versus published versions, testing, tracking changes, solutions, export and import, backups, environments, mistakes, and best practices.
Learn how to publish a Copilot Studio agent with confidence, including pre-publish checks, draft versus published versions, channels, Microsoft Teams, access, validation, monitoring, and common mistakes.
Learn how to use Copilot Studio conversation analytics to measure usage, engagement, topic performance, resolution outcomes, escalations, fallback trends, feedback, and improvement patterns.
Learn how to debug Copilot Studio conversations by reproducing issues, checking topic triggering, tracing conversation flow, inspecting variables, testing actions, and fixing fallback loops.
Learn how to test a Copilot Studio agent before publishing, including topics, trigger phrases, questions, variables, actions, generative answers, fallback paths, and edge cases.
Learn Microsoft Copilot Studio fallback topics for unclear requests, no-match responses, repeated fallback, routing, escalation, and better user recovery.
Learn Microsoft Copilot Studio error handling best practices for failed actions, unclear inputs, fallback paths, retries, escalation, and better user recovery.
Learn how escalation topics in Microsoft Copilot Studio move complex conversations to human support with context, routing, severity rules, and clean resolution.
Learn Microsoft Copilot Studio greeting topic best practices for welcome messages, first prompts, quick replies, suggested actions, routing, and better chatbot starts.
It is used to build custom AI agents and copilots that answer questions, use business knowledge, trigger actions, and publish to channels such as Microsoft Teams and the web.
No. Many scenarios can be built with low-code tools, but advanced agents often benefit from Power Automate, connectors, authentication planning, and good solution design.
Start with setup, licensing, topics, and knowledge sources. Then build one small scenario, test it with real questions, and improve it before adding more integrations.