Agentic orchestration

Definition

The architecture pattern of coordinating multiple AI agents to accomplish complex tasks, with a supervisor agent routing work, managing state, and combining results from specialized sub-agents.

Why it matters

Single-agent systems hit a complexity wall. When a task requires research, analysis, code generation, and human approval, one agent trying to do everything produces brittle, unreliable results. Agentic orchestration lets you decompose problems into specialized roles, each with its own tools and constraints, and coordinate them through a supervisor. This is how enterprise-grade AI workflows will actually work: not one god-model doing everything, but a team of focused agents managed by an orchestration layer. The orchestrator pattern also makes it easier to swap individual agents without rebuilding the entire system.

In practice

LangGraph, Microsoft AutoGen, and CrewAI are the leading frameworks for multi-agent orchestration. In a typical setup, a planner agent breaks down a user request, delegates sub-tasks to researcher, coder, and reviewer agents, then synthesizes their outputs. Salesforce's Agentforce uses this pattern to coordinate customer service agents with billing, shipping, and technical support specialists. Companies report that well-orchestrated multi-agent systems outperform single-agent approaches by 30-50% on complex workflows, though they require significantly more engineering investment to build and maintain.