Electrical contractors · Applied AI

Built for the electrical contractor who's already tried the off-the-shelf option and bounced off it.

Most electrical contractors 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 electrical contractor is paying for the same problem to be solved twice.

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

On the ground with NZ electrical contractors

The pattern across most electrical contractors we work with.

  • Electricians juggle callouts, compliance certificates, and quoting, usually from the front seat of a van.
  • Certificates of compliance and quote turnaround are where electrical businesses either look professional or lose the job.
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How we build AI fraud detection for electrical contractors.

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

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The outcome for electrical contractors

If we build the right slice first, electrical contractors feel the difference inside the first month. Recovers 3-5x its cost in caught fraud within 6 months.

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.

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*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

What's the realistic timeline for AI fraud detection with a electrical contractor?

Most electrical contractors have their first usable slice in week 5 or 6. We'd rather ship narrow and real than broad and aspirational – your team gets to use the thing well before the engagement is "done".

Is AI fraud detection worth it for a smaller electrical contractor?

Often, yes – and counterintuitively the ROI is sometimes faster than for the big end of town because there's less integration overhead. We'll tell you honestly on the scoping call if it isn't.

Do you have proof this works for electrical contractors?

Direct case study: Recovers 3-5x its cost in caught fraud within 6 months. Happy to walk you through full numbers on a call.

What happens if we want to swap a vendor out later?

AI fraud detection is built behind a small adapter layer specifically so swapping a model provider or a data source is a one-day job, not a re-architecture. Claude, DuckDB, Postgres, Vercel are our defaults, but the build is intentionally portable.

One short call.

Tell us what you're trying to fix. We'll come back inside a working day.

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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.