Cafes and restaurants · Applied AI

AI fraud detection that fits a cafe or restaurant's week, not the other way around.

When a cafe or restaurant asks us about AI fraud detection, the first question we put back is the same one every time: which part of your week, if it disappeared, would change how you feel on a Friday? We start the build from that answer.

What AI fraud detection actually does

Pattern-watching AI for refund abuse, chargebacks, fake reviews, employee fiddles, and odd supplier invoices. Flags weirdness early – before it's a real problem.

  • 01 Learns your normal patterns and flags outliers
  • 02 Daily anomaly report, not a constant alert flood
  • 03 Explainable scoring so you can act with confidence
  • 04 Integrates with Xero, Shopify, and POS systems

Built on: Claude DuckDB Postgres Vercel

The cafes and restaurants reality

What we keep hearing from NZ cafes and restaurants.

  • Hospitality runs on thin margins where a missed booking, a bad review left unanswered, or a slow roster costs real money.
  • Reservations, reviews, and rostering are the recurring admin that pulls owners off the floor.
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How we build AI fraud detection for cafes and restaurants.

We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for a cafe or restaurant business, so value lands before the build is finished. AI fraud + anomaly.

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The outcome for cafes and restaurants

The shape of the result for cafes and restaurants: Recovers 3-5x its cost in caught fraud within 6 months. Built on Claude, hardened with the rest of the stack as it scales.

Not your typical AI agency.

Honest about what AI can and cannot do

Ships the one workflow that pays for itself

Hours given back, never the size of the invoice

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*Every engagement is scoped and quoted up front. Results vary by workflow and business.

How much is not automating costing you?

Nine hours a week of admin is 468 hours a year. With Kiwi Dynamics, that drops to about 52.

Try the calculator

*Based on 9 hours a week of admin at Kiwi Dynamics' typical 80% automation rate. Your number may vary, the calculator uses your own.

Questions

FAQ

When does AI fraud detection actually pay back?

Inside the first quarter, in our experience. We pick the first slice specifically because it's the highest-leverage workflow for a cafe or restaurant – so the savings start landing before the rest of the build is finished.

How do you price AI fraud detection engagements?

Fixed-scope pilots first, then either project pricing or a small monthly retainer for the ongoing work. No long lock-ins, no 18-month black-box deals. Most cafes and restaurants are surprised how small the first cheque is.

Has this actually shipped for a real cafe or restaurant?

Yes. Recovers 3-5x its cost in caught fraud within 6 months. We'll share comparable engagements on the call.

Will this run on our own infrastructure?

Yes, where it makes sense. AI fraud detection can sit entirely in your cloud account, with model calls routed through endpoints you control. We default to Claude, DuckDB, Postgres, Vercel but the architecture supports your existing platform choices.

Worth a conversation?

Even if you don't end up working with us, you'll leave the call knowing what's worth building.

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Talk to us about this

Tell us what you're trying to do and we'll reply with how we'd build it — no obligation.