The use case: how Chexy deploys Lorikeet
Chexy uses Lorikeet's AI agent, named Chester, to handle customer support tickets such as identity verification, Aeroplan rewards and payment questions. After connecting Lorikeet to internal systems, the agent could look up payment records, account status and eligibility during live conversations.
More reported results
Figures published in Lorikeet’s case study. They are not independently measured by usedby.
Monthly tickets handled by the agent went from about 1,500 to over 7,500, with payment questions included for the first time.
On the tickets Chester resolved, average handle time fell from 24 hours to about a minute.
In the customer’s words
We connected Lorikeet to Chexy's systems, and that allows us to give Lorikeet access to a lot of our data which we previously didn't have access to.Other companies using Lorikeet
Customers across industries, with public evidence.
See all Lorikeet customersGo straight to the source
Based on Lorikeet’s published case study. We check the public evidence; the results are reported by the vendor.
lorikeetcx.ai- Last checked
- Oct 27, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The figure: 72%Checked
Printed word for word on the page, near the name of Chexy.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of Chexy.
- Chexy uses LorikeetChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
The agent's share of inbound moved from about 24% to about 72% that week. Monthly tickets handled by the agent went from about 1,500 to over 7,500, with payment questions included for the first time. The support team stayed the same size.






