Use AI to label incoming tickets
Classification is a strong use case if your labels are stable. Keep a human reviewer for edge cases.
Try this first
- 1Start with the top five categories, not all thirty
- 2Test on a hundred historical tickets with known labels
- 3Have AI return a confidence score; below threshold route to a human
- 4Review monthly whether new categories are needed
When to bring us in
If mislabels break SLAs or hit clients, intervene earlier.
See also
- Can I paste a customer file or email into ChatGPT?Depends on the account and settings. Free ChatGPT and a Team tenant behave very differently from what most people assume.
- I want a one-page AI policy for my teamA real one-pager beats a thick document nobody reads. Four headers and concrete examples.
- How do I tell if an AI answer is made up?Models sound confident even when they are wrong. A few habits catch most mistakes.
None of the above fits?
Describe your situation below. We pass your input plus the steps you already saw to our AI and return tailored next-step advice. If it's too risky to DIY, we'll say so.
Or skip the DIY entirely
Our Managed IT clients do not look these things up. One point of contact, a fixed monthly price, resolved within working hours.