How-to

How to automate customer support with AI agents

You can automate most first-line customer support with a small team of AI agents in AgentMesh — no code. Here is the pattern.

1. Create a Support agent with instructions like: “Answer product, order and returns questions clearly and briefly. If unsure, escalate.”
2. Give it tools: an HTTP-request tool to look up orders in your system, and send_email or slack_message to reply or notify a human.
3. Add a Triage agent that classifies each message (question, complaint, refund) and routes it — connect the two in a workflow.
4. Set the workflow to run on a webhook trigger so new tickets start a run automatically, or on a schedule to sweep a queue.
5. Test on real examples, then set the agents Active. Every run is logged in Executions.

Why agents, not a chatbot

Because the agents take action — they look up the order, draft the reply, and escalate the edge cases — instead of only chatting. That is what turns support from “answered” into “resolved”.