Orchestration
Coordinating multiple steps, tools, agents, or systems in a workflow toward a defined outcome. AI agents orchestrate by triggering actions across CRM, email, calendar, and knowledge bases—or by calling other agents through patterns like Agent Chaining and Workflow Orchestration. Marketing orchestration, for example, might draft content, schedule posts, and report performance in one flow without a human switching between tools.
Written by Max Zeshut
Founder at Agentmelt · Last updated Sep 9, 2026
Example
An e-commerce abandoned-cart workflow orchestrated by an AI agent: detect cart abandonment → pull customer data from Shopify → check loyalty status in the CRM → generate a personalized email (with discount only if customer history justifies it) → send through the ESP → log to analytics → set a follow-up timer for 48 hours. Six systems, one workflow, no human in the loop unless the email bounces.
Frequently asked questions
- Is orchestration the same as an [[agent-loop]]?
- No—they operate at different levels. An agent loop is the internal think-act-observe cycle of a single agent. Orchestration is the outer layer that decides which agents and tools run, in what order, with what handoffs and timeouts. Most production stacks have both: agent loops inside specific tasks, orchestration coordinating the larger workflow.