Multi-Agent Orchestration: Running Specialist Agents in a Single Call
Complex conversations don't fit one agent persona. Multi-agent orchestration routes between specialist agents mid-call — billing, technical, scheduling — with seamless transitions.
A single AI agent with one system prompt can handle one type of conversation well. But customer calls don't respect single-purpose boundaries. A caller starts with a billing question, pivots to a technical issue, then wants to schedule a service visit. Trying to handle all three with one agent prompt creates a jack-of-all-trades that's mediocre at everything.
The specialist model
Multi-agent orchestration solves this by running specialist agents behind a router. Each agent has its own persona, knowledge base, tools, and guardrails — optimized for a specific domain. A billing agent knows your pricing, invoicing system, and refund policies. A technical agent knows your product internals, error codes, and troubleshooting steps. A scheduling agent knows your calendar, availability rules, and booking logic.
How routing works in Agent Canvas
In Agent Canvas, a router node sits at the entry point. It classifies the caller's intent and routes to the appropriate specialist agent — each represented as a sub-graph with its own flow. When the specialist completes its task, the conversation returns to the router, ready for the next topic. The caller experiences a single continuous conversation; behind the scenes, they may interact with three different agents, each operating with laser-focused expertise.
Context preservation across agents
The critical detail: conversation context must carry across agent transitions. When the caller moves from billing to technical support, the technical agent needs to know what billing discussed. Agent Canvas handles this by maintaining a shared conversation state that all specialist agents can read from and write to. No information is lost in the handoff. No 'Can you repeat what you just told the other agent?'
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