# How GiveCard uses Lorikeet

**60,000**: “Lorikeet answered about 60,000 calls from GiveCard cardholders”

As published on [lorikeetcx.ai](https://www.lorikeetcx.ai/customer-stories/how-givecards-product-team-builds-its-own-support-workflows-with-lorikeet). Captured by usedby on 2026-10-08.

- Company: [GiveCard](https://www.usedby.ai/companies/givecard.md)
- Tool: [Lorikeet](https://www.usedby.ai/tools/lorikeet.md)
- Teams: Product, Customer Support
- Customer since (as the page says): GiveCard signed with Lorikeet on 31 October 2025

## What the story says

GiveCard, a mass-payout infrastructure provider, uses Lorikeet's AI agent to answer recipient phone calls during an emergency relief program. The head of product built the support workflows herself, and the agent identifies what each caller needs and routes them to the right support team.

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

> GiveCard signed with Lorikeet on 31 October 2025 and went live on 3 November. "We actually built workflows specific for this event within two to three days, which was crazy," Sofia says.

- **43 days**: “The shutdown lasted 43 days.”

> We actually built workflows specific for this event within two to three days, which was crazy.
>
> Sofia Pedro, Head of Product

## What usedby checked

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

- Checked: the figure 60,000 is printed word for word on the page, near the name of GiveCard.
- Checked: the passage quoted above is copied word for word from the page, near the name of GiveCard.
- Checked: GiveCard 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/givecard-lorikeet · How we check: https://www.usedby.ai/methodology