What is AI Orchestration?

AI orchestration is the layer above individual AI models that coordinates how they work together. A single LLM call is straightforward. A production AI system might involve multiple specialised agents (one for retrieval, one for reasoning, one for formatting), tool calls to external APIs, memory systems that persist state between steps, and branching logic that depends on intermediate results. Orchestration frameworks manage this complexity.

Key frameworks include LangChain (chains and agents for sequential and tool-augmented tasks), LangGraph (stateful graph-based execution for complex branching workflows), CrewAI (role-based multi-agent systems where agents collaborate with defined responsibilities), and n8n (visual no-code orchestration for connecting AI to business tools).

The orchestration layer handles the hard parts of production AI: retry logic when a model call fails, managing state across a long-running workflow, routing between different tools based on intermediate results, handling errors gracefully without losing work, and logging everything needed for debugging when something goes wrong.