One category of IT ticket automates at 85%+ in every sector measured.
Most IT leaders wouldn’t rank it in their top three guesses.
Observed data from hundreds of service desks, gathered across 9+ years in the AI service desk industry, spanning industries that share almost nothing operationally. Every one of them reproduces the same structure. Your service desk almost certainly follows it too. The question is whether you see the map before your next automation decision, or after.
Observed data from hundreds of production service desks, gathered across 9+ years in the AI service desk industry. Real demand, not a survey.
9+ years inside service desks across industries that look nothing alike, behaving with surprising consistency.
A quarter to a third or more of tickets is confidently automatable. Which third is the part almost everyone gets wrong.
85%+ automation in the single most reliable category — named inside the report.
Every vendor claims AI can run your service desk.
This is the first benchmark built from observed service desk data rather than opinion, and it says the opportunity is not where most programs are pointed.
Here’s what five of them sound like.
The most reliable win in the entire dataset holds at 85%+ in every sector, at every scale.It is rarely anyone’s first guess.
Your biggest ticket queue is probably your worst first target. The data calls this the most common — and most expensive — mistake in enterprise automation programs.
The real unit of automation is not a domain, a queue, or a tool. One organization resolved four in ten of all tickets with a single build. The report shows what it was.
Four kinds of work resist automationno matter how the request is framed. If your vendor hasn’t named them, they’re overpromising.
Two organizations with nearly identical profiles landed at opposite ends of the automation range. One variable explains the gap — and it has nothing to do with software.
The remaining five findings cover where the opportunity actually clusters, the one domain where two levers belong together, and the sequencing that makes value arrive early enough to fund the rest.
This map came from desks that look like yours. Their next roadmap will use it.
The desks in this benchmark resolve 93–99% of their tickets. These aren’t broken operations looking for a rescue — they’re mature IT organizations, the same profile as yours, deciding right now which third of their demand never reaches a human again. The structure of their demand turned out to be the structure of everyone’s demand. Including yours.
The teams that see the shape first get to take the easy wins. Everyone else automates the loudest complaint.
Built for the people who decide where automation goes first — and answer for it after.