ZeroTouch Triage

Use Case Hub
1

:brain: Tired of Misrouted Tickets? Let AI Handle It.

Let’s talk about a real pain point—
How sure are you that every incoming ticket is reaching the correct team, with the correct category, the right priority, and SLA already in place?

If this is still a manual task in your organization, this post is definitely for you.

:robot: AI-Powered Ticket Routing with Autom Mate

No matter where your tickets come from—email, self-service portal, chatbot, Microsoft Teams, WhatsApp—and no matter which ITSM you use—ServiceNow, Jira, Topdesk, Ivanti, Xurrent, ServiceDesk Plus—you can place an AI Agent in between the inflow and the service desk tool.

The flow looks like this:
Incoming Ticket → Autom Mate → ITSM Tool

You’re free to use any AI model — GPT, Copilot, Perplexity, Grok, even your own local LLM. Autom Mate takes care of the rest.

:puzzle_piece: What Does Autom Mate Actually Do?

  1. Receives the new ticket

  2. Reads the full content — subject, body, metadata, even attachments

  3. Passes it to a trained AI agent

  4. AI determines:

    • What’s the topic?

    • Which team should handle it?

    • How urgent is it?

    • What SLA applies?

  5. Automatically updates the ticket in the correct system with the right values

Just train the agent with brief examples of which kinds of tickets go to which teams or categories. From there, Autom Mate fully automates the decision and routing process.

:gear: Architecture Overview

This setup uses Autom Mate’s native AI + integration capabilities, built through a no-code flow. Here’s the typical architecture pattern used in this type of routing automation:

:repeat_button: Trigger Type

The workflow is triggered by a Webhook—fired as soon as a new ticket is generated, no matter the source (email, portal, chatbot, etc.).

:brain: GPT Action Chain

  1. THREAD-SCOPE
    Starts or resumes a conversation with the AI model.

    • Custom: Uses an existing session (thread ID)

    • Generate: Creates a new thread per ticket

  2. MESSAGE
    Sends the ticket content to the AI agent.

  3. RUN
    Executes the message against the AI model and stores the result in the Response variable.

:yellow_circle: Important: Always follow the sequence — THREAD-SCOPE → MESSAGE → RUN — to avoid session/context loss.

:outbox_tray: Ticket Update (Condition Routing)

Once the AI agent has classified the ticket with the right team, category, priority, and SLA, Autom Mate automatically updates the ticket in the same ITSM tool where the ticket originally came from.

So whether the ticket was created in ServiceNow, Jira, Topdesk, or Ivanti, Autom Mate updates it directly in that platform with all the right fields filled in — just like it was done manually, but better and faster.

This keeps all ticket handling native to your existing toolset — no redirections, no loss of context.

Here’s a visual example of how this might look in Autom Mate:

Screenshot_51
Screenshot_511123×785 39.5 KB

Each ITSM tool (e.g., ServiceNow, Jira, Topdesk, Ivanti) has its own update path based on conditions from the AI output.

:chart_increasing: What You Gain

Here’s what teams typically achieve when this setup goes live:

  • :rocket: Up to 70% faster ticket triage

  • :white_check_mark: 95%+ accuracy in team/category/SLA assignment

  • :stopwatch: Significantly reduced SLA breaches

  • :chart_decreasing: Lower ticket reassignment rates

  • :raising_hands: Agents focus on resolution instead of sorting

  • :money_bag: Strong ROI via reduced MTTR and manual load

:down_arrow: The Autom

Here you can find the Draft Autom Export. Go ahead and import it to your environment to see.

ZeroTouch Triage Autom.json (20.4 KB)

:speech_balloon: Got a Similar Setup?

Have you tried AI-driven routing before? Curious which models work best? Already using this kind of logic with Autom Mate?

Drop your thoughts or share how you’re handling ticket classification — let’s learn from each other :backhand_index_pointing_down:

3 Likes