Most teams begin their AI journey by building a single agent. While useful, real business value emerges when agents are designed to work together as a coordinated system. Using a LEGO‑inspired model, this session shows how to design individual agent “bricks” that can be safely composed into larger agent “sets.”
Attendees will learn practical design patterns for multi‑agent solutions built with Copilot Studio, Dataverse, and Power Automate, including orchestration, peer collaboration, escalation, and reuse. The focus is on building systems that remain maintainable, governable, and adaptable as requirements evolve.
Key Takeaways
• LEGO‑style principles for modular agent design (bricks → sets)
• Clear patterns for agent responsibilities, boundaries, and tool contracts
• Common multi‑agent architectures: orchestrator/worker, peer collaboration, escalation
• Anti‑patterns that lead to tightly coupled or brittle agent systems
• A reusable checklist for designing evolvable multi‑agent solutions