Support Triage Agents: The Highest-Leverage Starting Point for Agentic AI

How to design a support triage agent that routes, summarizes, drafts replies, and reduces time-to-resolution without breaking policy.

Published: 12/28/202512 min read

Support Triage Agents: The Highest-Leverage Starting Point for Agentic AI

Support teams are overloaded because every request arrives as unstructured text.

A triage agent helps by turning text into structured work.

What a triage agent should do

  • Summarize the issue
  • Classify intent
  • Estimate urgency
  • Pull relevant account context
  • Route to the right team
  • Draft a first response

That is a lot, but each step can be validated.

What it should not do (at first)

  • Close tickets automatically
  • Issue refunds
  • Change production configurations

Start with low-risk tasks and expand.

A simple routing design

Create categories that match your org:

  • Billing
  • Integrations
  • Bugs
  • Feature requests
  • Security

Then define routing rules. The agent proposes a category, your system enforces allowed assignments.

Evaluation

Measure:

  • Correct routing rate
  • Time to first response
  • Human edit rate

If edit rate is high, improve prompts and retrieval.

Closing thought

Support triage is a great first agent because success is visible and measurable.

You will know quickly whether it helps.