AI Support & Agents

Multi-Agent System

Definition

A multi-agent system is a setup where several specialized AI agents work together — each handling a specific task or domain — coordinated so they can solve problems that a single agent would handle less reliably.

Also known as: multi-agent architectureagent teamssub-agents

How it works

Instead of one general agent doing everything, work is split among focused agents — for example, one that classifies intent, one that handles billing questions, one that processes returns. A coordinator (or orchestration layer) routes each task to the right agent and combines the results.

This mirrors how a human support team is organized into specialists. Each agent can have its own instructions, tools, and knowledge sources, which keeps each one simpler, more accurate, and easier to maintain than a single monolithic prompt.

Why it matters for support

As automation grows, one giant agent becomes brittle. Splitting responsibilities into cooperating agents improves accuracy and makes the system easier to reason about — you can update the returns agent without risking the billing agent.

Specialization improves accuracy per task
Easier to maintain and update in isolation
Requires an orchestration layer to coordinate

Frequently asked

Why use multiple agents instead of one?

Specialized agents are more accurate and easier to maintain than a single agent trying to do everything. It also isolates changes — you can improve one agent without destabilizing the rest.

What coordinates a multi-agent system?

An orchestration layer that routes tasks to the right agent, passes context between them, and assembles the final result.

How Macha builds AI agents

Related terms

AI Orchestration

AI orchestration is the coordination of multiple AI models, agents, tools, and data sources into a single reliable workflow — deciding what runs, in what order, and how results are passed along to complete a task..

Sub-Agents

In Macha, a sub-agent is an agent that a parent agent can delegate to.

Agent Orchestration

Agent orchestration is coordinating multiple Macha agents — and the tools each can call — so a complex request is broken into the right steps.

Autonomous Agent

An autonomous agent is an AI system that pursues a goal on its own — deciding what steps to take, calling tools, and acting on the results — with little or no step-by-step human direction..

Agentic AI

Agentic AI is AI that doesn't just answer questions but takes actions — it plans multi-step tasks, calls tools and APIs, and works toward a goal end to end with little or no human intervention..

Put these ideas to work

Macha is an AI agent layer that sits on top of the help desk you already run — Zendesk, Freshdesk, Front, Intercom, or Gorgias.

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