Topic

Multi-Agent Coordination

Multi-agent coordination refers to the mechanisms and frameworks that enable multiple AI agents to work together toward shared objectives while maintaining control and visibility over their interactions. In enterprise AI governance, this matters because distributed AI systems can create complex dependencies, potential conflicts, and cascading failures that become difficult to audit and manage. Effective coordination governance ensures organizations can enforce policies, track decision-making across agent networks, and maintain accountability when autonomous systems interact in production environments.

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