---
title: "Triage support requests with AI"
description: "A four-step playbook to classify, route and draft replies for incoming support requests, with an agent approving every customer-facing message."
url: https://lidvizion.ai/guides/triage-support-requests-with-ai/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---

[Field guides](https://lidvizion.ai/guides/) 4 steps

# Triage support requests with AI

A four-step playbook to classify, route and draft replies for incoming support requests, with an agent approving every customer-facing message.

For: Support and operations leads whose queue is growing faster than the team.

Most support queues mix a few urgent issues with many routine questions, and everything waits in the same line. AI triage sorts the queue as requests arrive, sends each one to the right person with a summary, and drafts replies for the routine ones. People still decide what reaches the customer.

## Step 1 — Sample and label the queue

**Goal:** Understand what actually arrives before automating anything.

1. Export a recent sample of requests across channels.
2. Label each one by type, urgency and the team that resolved it.
3. Note which types have a standard answer and which need judgment.
4. Record today’s time to first response and time to resolution as a baseline.

**You finish with:** A labelled sample, a short list of request types and a baseline.

## Step 2 — Define routes and rules

**Goal:** Decide where each type goes and what the AI may do.

1. Map each request type to a team or queue.
2. Mark urgent signals that always go straight to a person.
3. List the approved sources for replies: help articles, policies, templates.
4. Decide which types get a drafted reply and which only get routed.

**You finish with:** A routing table, urgency rules and approved reply sources.

## Step 3 — Classify, route and draft

**Goal:** Run the workflow on live requests, alongside the current process.

1. Classify each new request and attach a short summary.
2. Route it to the right queue, and flag low-confidence cases for a person.
3. Draft replies from approved sources only, with the source shown.
4. Send nothing until an agent approves or edits the draft.

**You finish with:** A live workflow with every reply approved by an agent.

## Step 4 — Measure and tune

**Goal:** Improve the rules using what the agents change.

1. Compare response and resolution times against the baseline.
2. Track how often drafts are sent unchanged, edited or discarded.
3. Fix routing rules and sources where agents keep correcting them.
4. Expand drafting to new request types only when the record supports it.

**You finish with:** Measured results and a tuned set of rules.

## Common pitfalls

- Automating replies before routing works reliably.
- Letting the AI answer from sources nobody approved.
- Hiding urgent requests behind the automated queue.
- Measuring volume handled instead of customer outcomes.

Want a hand getting started?

## Start with a workflow audit

We pick the workflow with you, set the baseline and write the bounded design.

[See the audit](https://lidvizion.ai/workflow-audit/) [Talk this playbook through](https://lidvizion.ai/contact/?need=ai-workflow&from=%2Fguides%2Ftriage-support-requests-with-ai%2F#write)

## See it as a workflow

- [Support triage and reply drafts](https://lidvizion.ai/use-cases/support-triage/): Customer support Classify incoming tickets, find the relevant answer, and draft a reply for an agent to check.

## More guides like this

- [Qualify inbound leads with an AI agent](https://lidvizion.ai/guides/qualify-inbound-leads-with-an-ai-agent/)
- [Follow up on every quote](https://lidvizion.ai/guides/follow-up-on-every-quote/)

## Related answers

- [What is an AI agent in a business setting?](https://lidvizion.ai/answers/what-is-an-ai-agent-for-business/)
- [How long does it take to automate one business workflow with AI?](https://lidvizion.ai/answers/how-long-does-it-take-to-automate-a-workflow/)

Bring the messy version

## One workflow. A better way to run it.

Show us the tools, the handoffs, and the part that keeps slowing your team down.

[Let’s map your workflow](https://lidvizion.ai/contact/) · [Read our approach](https://lidvizion.ai/approach/)