The use case: how Self Financial deploys Lorikeet
Self uses Lorikeet's AI voice agent to answer customer calls around the clock, work out what the caller needs, and take actions such as sending or unlocking cards, starting fraud handling, and identifying disputed transactions. The agent reads from and writes to Salesforce, and routes sensitive matters like credit reporting questions to human staff.
In the customer’s words
If I were to leave Self and ask to implement AI at another financial institution, Lorikeet would be the first call I make.Lorikeet is really able to pick up and understand where the customer is coming from.Other companies using Lorikeet
Customers across industries, with public evidence.
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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: 30,000Checked
Printed word for word on the page, near the name of Self Financial.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of Self Financial.
- Self Financial uses LorikeetChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
In May 2026, the agent automated more than 27,000 customer conversations and now resolves over 30,000 per month on average.