L1 Tickets Fell 45%+ the Moment This AI Agent Started Solving Problems Instead of Forwarding Them
See how an AI helpdesk agent cut L1 ticket volume by 45%+ and improved issue resolution speed by 35% through automated support.
IT support was drowning in repetitive, low-complexity requests, including password resets, access requests, and the same FAQs on repeat, while genuine issues waited. ConforgeLabs deployed an AI helpdesk agent that resolves those routine queries end-to-end and plugs into existing ITSM tools to create and triage tickets automatically, cutting L1 volume by 45%+ and speeding resolution by 35%+.
The Queue Was Full, But Most of It Didn't Need A Human At All.
IT support was carrying high ticket volumes, and the composition was the problem as much as the count. A large share of what landed in the queue was repetitive, such as password resets, access requests, and the same handful of FAQs asked a hundred different ways. Every one of them tied up an agent, and none of them needed one. The consequences stacked up predictably. Resolutions came slowly because agents worked a queue clogged with routine requests; first-contact success stayed low because simple asks waited behind whatever came before them; and the support experience turned inconsistent, varying with which agent picked up and how deep the backlog ran that day. End users absorbed the delay. Someone locked out by a forgotten password or waiting on an access request lost working time to a ticket that, in principle, could have been closed in seconds, and productivity and satisfaction eroded a little with every avoidable wait.
“Our agents spent their day on password resets and access requests. The problems that actually needed a person sat in the same line behind them”
