How AI helps our technicians with every ticket, and what it never does.

Every ticket in our service desk is handled by a technician, and every client hears from a person. Before the technician opens a ticket, AI has already summarized the request, suggested a priority and proposed a first step. We tell clients to use AI inside real operations, so we started with our own.

What it does

A ticket arrives in someone’s own words, often incomplete. The AI summarizes what is being asked, proposes how urgent it is, and offers a likely first step based on the information in the ticket. The technician sees all of that when they open it, rather than starting from a blank page.

What it does not do

It does not close tickets or make changes on its own. The technician reads the suggestion, decides whether it is right, and stays accountable for the result. Where the AI is wrong, a person sees that before the client does. It never writes to a client: every reply comes from a person.

What we would tell you before you try it

Start where the work is already measured, so you can tell whether anything improved. Decide what data the model may see before you connect it to anything. Keep a person accountable for each outcome, and tell your team plainly what the tool is for. Those are the same questions we raise in governance briefings for boards.