Every tool in this category demos well, because a demo ticket is clean. Production tickets are half sentences, a screenshot, a phone call nobody logged, and a resolution that happened across three systems.
What works reliably today
Summarising a resolved ticket. Turning a messy thread into a clean record of what happened and what fixed it. This is the highest return use and the least discussed.
Drafting a response. The technician edits rather than writes. Saves real minutes on every ticket.
Drafting documentation from what was done. A procedure written from an actual resolution, reviewed by a person, is far better documentation than one written from memory next quarter.
Finding the similar ticket. Retrieval over your own history is genuinely useful and undersold.
What does not work reliably
Autonomous resolution of anything unusual. Narrow, repetitive, well documented tickets, yes. The unusual ones are where the time actually goes, and those need judgment.
Documentation with no human pass. A confident, wrong procedure is worse than no procedure, because somebody will follow it.
Anything that depends on context nobody wrote down. The client's odd configuration, the thing everyone knows and nobody recorded. The model cannot read what does not exist.
The setup that survives production
Keep the technician in the loop. Draft and suggest, do not replace. The review takes seconds when the draft is good.
Write back into the system they already use. This is the single biggest cause of shelfware in this category. If the summary is not in the ticket, it will not be read.
Start with one narrow job. Summaries on resolved tickets, for example. Get that trusted before adding anything.
Have an error path. When the model is uncertain, it should say so rather than produce something plausible. Low confidence should route to a person, not guess.
How to measure it
Not usage. Three things:
- Did documentation coverage improve, measured as a percentage of resolutions with a usable record
- Did repeat tickets fall for issues that now have documentation
- Did time to resolution move
Usage tells you the tool ran. These tell you whether anything got better.
Before you buy
Ask the vendor what percentage of customers run it without customisation, what happens when the model is uncertain, and what it writes back into your ticketing system.
The third answer predicts adoption better than any feature list, because a tool whose output lives outside the technician's workflow will be abandoned no matter how good it is.