Customer support

Hnry · Lorikeet

Vendor-reportedBanking & financeScaledMid-marketNLPLive 2026

Vendor-reported. The customer is named and the numbers are quoted from the source page, but the account comes from the vendor. No independent confirmation.

Reported by lorikeetcx.ai (vendor self-report). Checked against the source page on 2026-09-05. 3 of 3 figures below appear on that page word for word.

The problem

High volume of customer support inquiries during peak tax season, leading to overwhelmed staff and long wait times for simple questions.

What was deployed

Vendor
Lorikeet
Products
Lorikeet
Technique
NLP
Build or buy
Bought off the shelf
Deployment
SaaS
Data used
Australian tax rules, customer income data, and other financial information to answer tax-related queries.
Scale
17,000+ conversations in the first month; live across Australia, New Zealand, and the UK

What changed

Each row is quoted from the source. Figures we could not find on the page in those words are marked — they are kept, not deleted, so you can judge them.

70conversations automatedfrom zero automationat peak

70% of conversations automated at peak

Quoted word for word from the source

17,000+support conversations handledin the first month

In the first month it handled 17,000+ support conversations.

Quoted word for word from the source

58Conversations automated (average over full period)full period (vs. 70% at peak)

Automation climbed with it, from roughly 58% across the full period to around 70% in the week the load was heaviest.

Quoted word for word from the source

We actually started with Lorikeet with the hardest jurisdiction for year-end, like the nuances of Australian tax.
Alex MacAvoy, Head of Customer Operations, Hnry

Difficulties and limits

Sources

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