LiveAgent’s AI ticket triage and categorization automatically reads incoming support tickets and assigns the correct category tag, so your team always knows what they are dealing with before they open a ticket.
When tickets come in, someone has to figure out what each one is about before it can be routed to the right place. That sorting step is repetitive, time-consuming, and easy to get wrong when the queue is busy. The LiveAgent AI ticket triage and categorization does it automatically.
AI ticket triage agent reads each new ticket, understands what the customer is actually asking or reporting, and assigns the correct category tag in LiveAgent. Your team opens the queue and already knows whether they are looking at a bug report, a general question, a cancellation request, or a piece of spam.
It is designed to fit into a larger automation flow. The agent takes a ticket ID as input and returns a specific tag ID that can be used to apply the correct tag to the ticket in LiveAgent via API, making it easy to chain with other automated steps.
The agent is triggered automatically when a new ticket arrives, based on a rule you configure in LiveAgent. To get this AI Agent up and running, you need to integrate LiveAgent with an AI Agents provider. FlowHunt isn’t required: any AI provider can power it, including OpenAI, Anthropic, Google Gemini or FlowHunt. Quality Unit develops both LiveAgent and FlowHunt, so LiveAgent users who choose FlowHunt get priority support. Here are the 4 main steps of how this AI agent works:
Input: The agent receives the ticket ID.
Fetch: The agent calls the LiveAgent API to retrieve the full conversation history for that ticket.
Analyze: The AI reads the content and evaluates it against your defined category criteria to determine the correct classification.
Output: The agent returns the specific tag ID for the matched category, which is then used to apply the tag to the ticket in LiveAgent.
LiveAgent does not charge anything for this feature or for AI. You pay your AI provider (OpenAI, Anthropic, Google Gemini or FlowHunt) for what you use, and the cost per ticket processed is generally low since each run involves a single, focused classification task. Your overall expenses will depend on ticket volume and the AI model selected. If you use FlowHunt, this guide helps you estimate the cost in FlowHunt credits.
The setup below uses a FlowHunt AI agent template. With another AI provider, create a LiveAgent AI agent with the tools it needs and start it from the same kind of rule. If you choose FlowHunt and don’t have an account yet, you can sign up at the FlowHunt sign-up page.
Here’s the required configuration:
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The agent does not just read the subject line. It fetches the full conversation history for each ticket using the ticket ID, so the classification is based on the complete context of what the customer wrote, not just a snippet.
The agent categorizes each ticket into one of your defined categories. The default categories are a good starting point for most support teams:
You can replace these defaults with your own categories to match how your team actually works.
The agent returns only the tag ID, nothing else. This strict output format makes it straightforward to chain the result with the next step in your automation, whether that is applying the tag, routing the ticket, or triggering a follow-up action.
The AI ticket triage and categorization is designed to be one step in a broader automated support flow. Once a ticket is tagged, you can use LiveAgent rules to route it to the right team, prioritize it, or trigger the AI ticket validation and autoresponse to send an immediate reply.
The LiveAgent AI ticket triage and categorization removes the manual sorting step from your support workflow. Every ticket that comes in gets read, understood, and tagged automatically before anyone on your team touches it. Your agents spend less time figuring out what a ticket is about and more time actually resolving it. Get started today with a 30-day free trial and see how much cleaner your queue becomes.
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