Orchestrating Multi‑Agent Systems in Microsoft Copilot Studio

Design patterns for nested (child) agents, connected agents, A2A collaboration, and MCP-enabled autonomous agents

In this 60-minute workshop, you’ll learn how to design, compose, and operate multi-agent solutions in Microsoft Copilot Studio. We’ll walk through reference architectures, live demos, and guardrails that let you safely scale from a single copilot to a resilient multi-agent topology — covering nested (child) agents, connected agents, Agent-to-Agent (A2A) messaging, and Model Context Protocol (MCP) integrations.

What you’ll learn:

Multi-Agent Architecture Fundamentals
How to model roles, capabilities, boundaries, and context across agents. Patterns for planner/executor, broker/worker, and supervisor/child topologies.

Nested (Child) Agents
When and how a parent agent spawns specialized child agents; lifecycle and termination; context scoping, memory sharing, and capability delegation. Practical guardrails for escalation, retries, and fallbacks.

Connected Agents
Connecting agents to data and actions through plugins/connectors (e.g., business systems, knowledge bases, workflows). Designing stable contracts (schema, intents, error shapes) and capability registries to keep connections manageable at scale.

Agent-to-Agent (A2A) Collaboration
Message patterns (request/response, async handoff, pub/sub), routing and arbitration, negotiation and role handover, and how to instrument traces for observability and root-cause analysis.

MCP
How to leverage Model Context Protocol (MCP) to expose tools/resources to autonomous agents: capability discovery, permissioning, invocation, and result normalization. Safety strategies (bounded autonomy, human-in-the-loop checkpoints, policy enforcement).

Governance & Safety
Data access boundaries, least-privilege design, auditability, incident response playbooks, and rollout strategies that minimize risk while enabling innovation.

By the end of the session, you will be able to:

  • Design robust multi-agent solutions with clear roles, contracts, and governance.

  • Implement nested and connected agent patterns that scale without losing control.

  • Enable A2A collaboration with traceable handoffs and measurable reliability.

  • Integrate MCP tools to expand agents’ capabilities.

  • Apply testing and observability practices to reduce intervention and improve outcomes.

Target Audience:
Solution architects, developers, and technical leads building agents in Copilot Studio or scaling to multi-agent systems and autonomous behaviors.

Level:
Intermediate (with advanced design patterns).

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