Enterprise Leadership • Module 21
Advanced AI Orchestration
Coordinating multiple AI agents
Module 21 of 30
Guest Lecturer: A Systems Architect
"The whole is greater than the sum of its parts—but only if the parts work together."
"Dear Marilyn,
We have multiple AI tools that don't talk to each other. How do we make them work as a unified system?
— Siloed and Struggling"
Marilyn Responds:
Multiple AI agents without coordination is chaos. Each optimizes locally while the system suffers globally.
Advanced orchestration treats agents as a team, not individuals. A central coordinator assigns tasks, manages dependencies, and resolves conflicts.
The result is emergent intelligence: the system is smarter than any single agent.
Multi-Agent Coordination
Orchestration patterns:
- Central Coordinator — One agent manages all others
- Peer-to-Peer — Agents negotiate directly
- Hierarchical — Agents organized in layers
- Market-Based — Agents bid for tasks
Quick Check: Module 21
Question: What's the main challenge in multi-agent AI systems?
a) Processing power
b) Coordination and conflict resolution between agents
c) Training data
d) User interfaces
(Answer: b — Agents must work together, not against each other.)