# How EasyKind uses Lorikeet

**92%**: “Email response times dropped 92% from 24 hours to roughly two.”

As published on [lorikeetcx.ai](https://www.lorikeetcx.ai/customer-stories/how-easykind-delivered-24-7-patient-support-without-increasing-headcount). Captured by usedby on 2026-10-08.

- Company: [EasyKind](https://www.usedby.ai/companies/easykind.md)
- Tool: [Lorikeet](https://www.usedby.ai/tools/lorikeet.md)
- Teams: Patient Support

## What the story says

easykind, an Australian online health clinic, uses Lorikeet to read and tag incoming patient emails by tier and route them to the right support coordinator queue. It also runs 'Buddie', a compliance-guarded AI agent in the logged-in patient experience that answers FAQs around the clock and escalates side-effect reports to humans.

Summary written by usedby from the source page, in English. The figures are those of Lorikeet and EasyKind, not ours.

> Email response times dropped 92% from 24 hours to roughly two. Patient Support Coordinators (PSCs) now arrive to a pre-sorted inbox and spend their day delivering five-star service instead of triaging emails.

- **four**: “Steph estimates they would need four additional hires to match the new capacity autonomously handled by Buddie, a cost avoided entirely.”

> If we couldn’t use Lorikeet anymore, I’d cry. We’d need to hire four new people immediately.
>
> Steph Galileos, Head of Patient Support

## What usedby checked

We compared the story with its live page on 2026-10-08.

- Checked: the figure 92% is printed word for word on the page, near the name of EasyKind.
- Checked: the passage quoted above is copied word for word from the page, near the name of EasyKind.
- Checked: EasyKind uses Lorikeet. Confirmed line. Latest check across sources: 2026-10-08.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/easykind-lorikeet · How we check: https://www.usedby.ai/methodology