Use cases · Customer support
Support triage and reply drafts
Classify incoming tickets, find the relevant answer, and draft a reply for an agent to check.
Where it starts
The trigger.
A ticket or support email arrives.
How it runs today
- Tickets are sorted by hand.
- Agents search the knowledge base for every answer.
- Similar questions get different answers.
The workflow
Four bounded steps.
Each step has an owner and a stop rule.
- 01 / Classify
Topic, urgency and customer are identified.
- 02 / Retrieve
Relevant articles and past answers are found.
- 03 / Draft
A reply is drafted with its sources.
- 04 / Send
An agent edits and sends; unclear cases escalate.
Where people stay in control
Approval points.
- No reply is sent without an agent.
- Refunds and account changes always escalate.
How we would measure it
Against a baseline.
Measured before and after, on the same work.
Time to first reply.
Tickets reopened.
Answer consistency on common topics.
Related
Go deeper.
More use cases
Other places to start.
At-risk customer alerts
Spot customers who may be about to leave from support tickets, usage and account notes, and give the account owner a short summary to act on.
See the workflow Customer supportReturn and refund requests
Check each return or refund request against your policy and order records, prepare the response and the system updates, and send anything outside policy to a person.
See the workflow Customer supportNew customer onboarding
Guide each new customer through the first weeks with timely, relevant steps based on what they bought and what they have done so far, and alert a person when someone gets stuck.
See the workflowAn illustrative workflow pattern, not a result from a specific customer.
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.
---
title: "Support triage and reply drafts: AI Use Case"
description: "Classify incoming tickets, find the relevant answer, and draft a reply for an agent to check."
url: https://lidvizion.ai/use-cases/support-triage/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---
[Use cases](https://lidvizion.ai/use-cases/) · Customer support
# Support triage and reply drafts
Classify incoming tickets, find the relevant answer, and draft a reply for an agent to check.
[Talk through this workflow](https://lidvizion.ai/contact/?need=ai-workflow&from=%2Fuse-cases%2Fsupport-triage%2F#write) · [Automate the repeatable](https://lidvizion.ai/services/automation/)
Where it starts
## The trigger.
A ticket or support email arrives.
How it runs today
- Tickets are sorted by hand.
- Agents search the knowledge base for every answer.
- Similar questions get different answers.
The workflow
## Four bounded steps.
Each step has an owner and a stop rule.
1. 01 / Classify
Topic, urgency and customer are identified.
2. 02 / Retrieve
Relevant articles and past answers are found.
3. 03 / Draft
A reply is drafted with its sources.
4. 04 / Send
An agent edits and sends; unclear cases escalate.
Where people stay in control
## Approval points.
- No reply is sent without an agent.
- Refunds and account changes always escalate.
How we would measure it
## Against a baseline.
Measured before and after, on the same work.
### Time to first reply.
### Tickets reopened.
### Answer consistency on common topics.
Related
## Go deeper.
- [Automate the repeatable](https://lidvizion.ai/services/automation/): Give recurring work an owner, a trigger, and a stop rule.
- [Embeddings and feature vectors](https://lidvizion.ai/resources/basics/embeddings-feature-vectors/): How models turn text, images and records into numbers that can be compared.
- [Triage support requests with AI](https://lidvizion.ai/guides/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.
- [How to automate customer support triage](https://lidvizion.ai/answers/how-to-automate-customer-support-triage/): How can a company use AI to triage customer support requests without hurting the customer experience?
More use cases
## Other places to start.
[All use cases](https://lidvizion.ai/use-cases/)
- [At-risk customer alerts](https://lidvizion.ai/use-cases/at-risk-customer-alerts/): Customer support Spot customers who may be about to leave from support tickets, usage and account notes, and give the account owner a short summary to act on.
- [Return and refund requests](https://lidvizion.ai/use-cases/return-and-refund-requests/): Customer support Check each return or refund request against your policy and order records, prepare the response and the system updates, and send anything outside policy to a person.
- [New customer onboarding](https://lidvizion.ai/use-cases/new-customer-onboarding/): Customer support Guide each new customer through the first weeks with timely, relevant steps based on what they bought and what they have done so far, and alert a person when someone gets stuck.
An illustrative workflow pattern, not a result from a specific customer.
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/)