SylloTips sits behind deployed enterprise agents as an improvement layer. It detects failures, routes them to the human expert who knows the answer, and turns that validated correction into governed memory the agent uses next time, across Knowledge, Agents and Deployment layers.
Closing that loop is the gap most agent deployments leave open. An agent goes live, gets things wrong, and the corrections happen in conversations nobody captures, so the same failure repeats indefinitely. Routing to the specific expert rather than a generic reviewer is the part that makes the correction trustworthy enough to keep.
The company operates from Rome, London and New York with native connectors and private cloud or on-premises deployment, reporting 40 to 60 percent faster recurring issue resolution and 20 to 50 percent lower token use. No pricing is published, those figures are the vendor’s own, and human-in-the-loop validation is an ongoing claim on expert time that someone has to fund.
