A support agent that answers, looks things up, and knows when to stop.
An AI agent with email and lookup tools handles the routine tickets. A human gate, a budget and a full trace keep it inside the lines.
Three workflows teams build here first.
- 01
First response on every ticket with the order, subscription or account already looked up.
- 02
Refunds, cancellations and address changes drafted by the agent and approved by a person before they execute.
- 03
Escalation with context: the full conversation, the agent’s reasoning and the tool calls, attached to the ticket a human picks up.
AI support agent with order lookup
A webhook hands a customer message to a tool-using agent that can look up the order over HTTP, then the answer is emailed back.
Built for this, not adapted to it.
An agent node with tools
The agent calls tools you define: fetch an order, search a knowledge base, send an email. Any published workflow can be a tool.
Email in and out
Mailbox triggers and send nodes for Gmail, Outlook, SendGrid and SMTP. The agent reads the thread and replies on it.
A human gate on risky actions
Refund above a threshold? The run suspends, a person approves or rejects, and the run continues. Nothing irreversible happens unattended.
Budgets and circuit breakers
Monthly token and dollar budgets per workspace and per provider. When the budget is hit the agent stops and the ticket routes to a human.
A per-iteration trace
Every reasoning step, tool call and token count is recorded. When a customer asks why the agent said something, you can show them.
Six model vendors and local models
Anthropic, OpenAI, Google, Mistral, DeepSeek and Perplexity, plus vLLM or Ollama for on-prem. Switch vendor without rewriting the workflow.
See a workflow run in your first ten minutes.
Create a workspace, import an n8n file or start from a template, and watch Workflow Health check it before it ever runs.