Agent Orchestration
Agent orchestration is the process of coordinating, sequencing, and managing the interactions between multiple AI agents to complete complex workflows efficiently.
In Depth
Agent orchestration is the control layer that makes multi-agent systems practical. It determines which agent should handle each step of a customer interaction, manages the flow of context between agents, handles error recovery when an agent fails, and ensures the overall experience feels seamless to the customer. Orchestration strategies include sequential (one agent after another), parallel (multiple agents working simultaneously), and conditional (routing based on the outcome of previous steps).
In customer support, sophisticated orchestration can route a billing question to the billing agent, detect that it also involves a technical issue, bring in the technical agent, and merge both resolutions into a single coherent response. Good orchestration also manages resource allocation, load balancing between agents, and fallback to human agents when AI confidence drops below acceptable thresholds.
Related Terms
Multi-Agent Orchestration
Multi-agent orchestration is the coordination of multiple specialized AI agents working together to handle complex tasks, where each agent focuses on a specific domain or function.
Multi-Agent System
A multi-agent system (MAS) is an architecture where multiple autonomous AI agents collaborate, each specializing in different tasks, to collectively solve complex problems.
Workflow Automation
Workflow automation uses technology to execute repetitive business processes automatically based on predefined rules and triggers, reducing manual effort and increasing consistency.
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