We've worked with enough operators in Griffith to know that the brief that arrives in our inbox is rarely the brief that ends up shipped. The first thing we do on any AI fraud detection project is sit with your team for a day before we propose anything.
For Griffith operators who want a working pilot in weeks, not a year-long programme.
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
Without Koala Dynamics
With Koala Dynamics
Why Griffith businesses are a fit for this.
- Griffith is irrigated horticulture and wine in the Riverina, where water, season and freight decide the year.
- Citrus, wine, rice and food processing built on the Murrumbidgee Irrigation Area, with a strong family-business culture. Compliance paperwork, freight coordination and multilingual customer contact are all real daily loads.
We work with teams across Griffith: Griffith CBD · Yoogali · Hanwood · Yenda · Leeton.
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How we build AI fraud detection for a Griffith team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Griffith business, so value lands before the build is finished. AI fraud + anomaly.
Talk to usThe outcome for Griffith teams
The shape of the result for Griffith teams: 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
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
FAQ
How long does AI fraud detection take to ship for Griffith businesses?
We aim for a working pilot inside 4-6 weeks - narrow scope, real Griffith businesses data, measurable outcome. From there it's another 6-8 weeks of hardening before you'd consider it production. Full rollouts (multiple sites, multiple teams) typically land in 3-4 months.
Are there hidden costs we should plan for?
Three to know about: model/API spend (which we set up under your own account, not ours, so you see and control it), any new SaaS subscriptions we recommend, and your team's time during rollout. We surface all three in the quote so there are no surprises.
Has this actually shipped for a real Griffith?
Yes. Recovers 3-5x its cost in caught fraud within 6 months. We'll share comparable engagements on the call.
Who owns the code and the model setup?
You do, on delivery. We deploy AI fraud detection into your own cloud account where possible, with the model setup, prompts, evals and integration code all checked into a repo you own. Claude sits in your account too - we don't operate it from ours.
Worth a conversation?
Even if you don't end up working with us, you'll leave the call knowing what's worth building.
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.