References and extension directions

1. Copilot Studio official documentation

1.1 Core documents

1.2 Governance and security

1.3 Developer tools

2. Power Automate integration documents

2.1 Frequently used connectors

3. References for external system integration

3.1 MCP (Model Context Protocol)

3.2 Tool selection comparison

4. Architecture directions for future extension

This section guides the phased architecture for expanding an organization’s AI agent capabilities based on Copilot Studio.

4.1 Phase 1: Single agent (initial adoption)

[User] → [Copilot Studio Agent]
                 ↓
         [Knowledge] + [Actions]

One agent handles a specific business task. Implement basic capabilities with Knowledge + standard connectors.

4.2 Phase 2: Multiple agents + automation (mid-term extension)

[User] → [HR Agent] ← SharePoint (HR policies)
         → [IT Agent] ← ServiceNow API
         → [Finance Agent] ← ERP connector
                 ↓
         [Power Automate automation flow]

Build specialized agents for each business domain and add cross-system automation through Power Automate.

4.3 Phase 3: Integrated orchestration (long-term strategy)

[User] → [Integrated Agent (router)]
                 ↓ (intent classification)
         [HR Agent] [IT Agent] [Finance Agent]
                 ↓
         [MCP server] + [Azure Functions] + [Custom Engine]
                 ↓
         [Internal DB] [External API] [IoT devices]

A single integrated agent identifies user intent and routes to specialized agents. Connect a variety of external tools flexibly through the MCP protocol, and apply a Custom Engine Agent only where needed.

4.4 Core principles for extension