Kiwi Dynamics

HVAC companies · Applied AI

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

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Every HVAC company business we've worked with has a different definition of "broken". AI fraud detection only earns its keep when it solves the specific definition you'd give it on a bad day – which is why our first call is mostly listening.

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

Sector context

Where HVAC companies actually lose hours and dollars.

  • Heating and cooling businesses run on seasonal call volume that spikes exactly when the team is already stretched.
  • Scheduling, callout triage, and maintenance reminders are what separate a booked-out HVAC business from a quiet one.
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How we build AI fraud detection for HVAC companies.

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

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The outcome for HVAC companies

We'd call the engagement a success when HVAC companies are using the system without thinking about us. 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

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 HVAC 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.

Anyone else in this space using AI fraud detection?

Plenty. Recovers 3-5x its cost in caught fraud within 6 months. The interesting question is rarely "does it work" – it's "is your team ready to use the output." That's what we'd scope 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 HVAC company team can actually run after we hand the build over, not what looks good on a vendor sticker.

Twenty minutes, your call.

You describe what's broken. We'll tell you what we'd actually do about it.

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