Agent Orchestration

Agent orchestration is the practice of coordinating multiple AI agents so they can collaborate on tasks that are too complex for a single agent to handle effectively. An orchestration layer manages which agents work on what, how they share information, and how their outputs are combined into a coherent result.

Why orchestration is needed

A single AI agent can handle straightforward tasks well — answer a question, draft an email, summarise a document. But complex business processes involve multiple steps requiring different skills: research, analysis, writing, code generation, data validation, and human review. Orchestration divides these responsibilities among specialised agents.

How orchestration works

A typical orchestration system includes:

• Orchestrator agent: The coordinator that receives the overall goal, breaks it into sub-tasks, assigns them to specialist agents, and assembles the final output.
• Specialist agents: Each handles a specific type of task — one might research, another might write, a third might review for accuracy.
• Communication protocol: Defines how agents pass information to each other — what format, what context is included, and how conflicts are resolved.
• State management: Tracks the overall progress of the task, which sub-tasks are complete, and what information is available.

Orchestration patterns

• Sequential pipeline: Agents work in order — Agent A's output feeds into Agent B, which feeds into Agent C. Simple and predictable.
• Parallel fan-out: Multiple agents work simultaneously on different aspects of a task, and their outputs are merged at the end.
• Hierarchical delegation: A manager agent delegates to sub-managers, who delegate to workers. Good for very complex tasks.
• Competitive evaluation: Multiple agents attempt the same task, and the best output is selected.

Practical considerations

Orchestration adds complexity and cost. Each agent call consumes tokens and adds latency. Error handling becomes more difficult because a failure in one agent can cascade. Start with the simplest orchestration pattern that meets your needs and add complexity only when justified by measurably better results.

Where orchestration delivers value

The clearest business cases involve repeatable, multi-step processes: due diligence research, content production pipelines, code review workflows, and customer onboarding sequences where quality and consistency matter.