Orchestration
Coordinating multiple automations, APIs, and AI agents to complete a complex multi-step task. An orchestration layer decides which service to call, in what order, and how to handle failures at each step.
Expert insight
Most "AI agents" are really orchestration layers they route tasks to specialised tools and aggregate results.
In a real workflow
An orchestrator workflow calls sub-workflows for enrichment, scoring and routing in order, and handles failures centrally.
Common mistakes
- Orchestrating everything in one place, making it a bottleneck.
- Losing track of state between steps.
Complexity level
Technical term used in production automation systems.
Related terms
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Go deeper
Guides that cover Orchestration
AI Agent Orchestration for Business Workflow Automation: Multi-Agent Systems and Supervisor Patterns (2026)
Beyond a single AI agent: supervisor patterns, agent handoff protocols, tool-use architecture, and the guardrails that keep multi-agent workflow automation reliable at production scale.
n8n vs Lindy vs Relevance AI vs Gumloop (2026): Best AI Agent Builder for Your Business
The four AI agent builders small teams shortlist most, compared on what decides production success: reliability, ease of building, credit-based pricing at volume, self-hosting and data control, with a clear pick by use case.
Travel Agency Automation: Documents, Reminders, and Repeat Bookings (2026)
How travel agencies automate document delivery, passport/visa reminders, and post-trip follow-up to book 41% more repeat clients without adding coordinators.