Most roofing companies we talk to aren't short of dashboards or tools – they're short of an hour back in the week. That's the lens we put on AI fraud detection: not a tech showcase, but a careful look at the one or two workflows where a roofing company is paying for the same problem to be solved twice.
Roofing companies · Applied AI
For roofing companies who want results in weeks, not a year-long transformation 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 Kiwi Dynamics
With Kiwi Dynamics
On the ground with NZ roofing companies
The pattern across most roofing companies we work with.
- Roofers quote off photos, chase weather windows, and juggle insurance jobs that all move at different speeds.
- Fast, accurate quoting from a photo is the single biggest lever for a roofing business's close rate.
How we build AI fraud detection for roofing companies.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for a roofing company business, so value lands before the build is finished. AI fraud + anomaly.
Talk to usThe outcome for roofing companies
Recovers 3-5x its cost in caught fraud within 6 months. For roofing companies, that almost always shows up as fewer interruptions and a calmer week, not a dashboard chart.
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.
Questions
FAQ
How quickly can we see something running?
Week three for a clickable internal demo against real data. Week six for a slice your team can actually use. We hold ourselves to those numbers because they're what stops a project drifting into "endless discovery".
What's the smallest engagement you'd take on?
A two-week paid discovery for roofing companies that aren't sure whether the build is worth doing at all. You get a one-page write-up of what we'd build, what we'd skip, and what it would cost. About 30% of those discoveries end with us recommending you don't proceed.
Has this actually shipped for a real roofing company?
Yes. Recovers 3-5x its cost in caught fraud within 6 months. We'll share comparable engagements on the call.
What tools do you build AI fraud detection on?
For AI fraud detection we usually reach for Claude, DuckDB, Postgres, Vercel. We're tool-agnostic at heart – we pick what your roofing company team can actually run after we hand the build over, not what looks good on a vendor sticker.
One short call.
Tell us what you're trying to fix. We'll come back inside a working day.
Get in touch
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.