What is AI Agent Workflow (AI Orchestration)?

AI orchestration is the structured coordination of multiple AI agents working either sequentially or in parallel. This approach enables the creation of collaborative AI teams instead of isolated single agents.

Much like a real orchestra, each agent plays a specific role. One may perform data analysis, another may make decisions, another may generate output, and yet another may review the results.

Through AI orchestration, simple tasks evolve into complex, multi-step workflow management.

Orchestration is not limited to agent-to-agent transitions.

It also involves the definition of data flow, logical conditions, control mechanisms, and intelligent routing. The architecture typically includes the following types of agents:

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Within the Dot platform, this orchestration is implemented through the Focused Mode.

Users can link multiple agents together to form a task chain in Playground. They can make workflows as an orchestration to solve complex problems.

In Dot, the Logic panel governs this entire flow with full transparency. It defines when each agent is activated, which model is assigned, and where the output is directed next.

This enables users to build dynamic, intelligent systems that automate high-value business processes reliably.

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