Plumbing businesses · Applied AI

AI personalisation that fits a plumbing business's week, not the other way around.

When a plumbing business asks us about AI personalisation, 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 personalisation actually does

Every customer sees the right product, message, and offer – based on what they've bought, browsed, and asked. Built on first-party data, no creepy tracking required.

  • 01 Per-customer recommendations across web and email
  • 02 Dynamic landing pages tailored to traffic source
  • 03 Lifecycle messaging triggered by real behaviour
  • 04 GDPR + NZ Privacy Act compliant by default

Built on: Claude Vercel Edge Postgres Klaviyo

Field notes

What years of building for plumbing businesses taught us.

  • Plumbers lose jobs to whoever answers the phone first, and most calls come in while they're already under a sink.
  • Missed calls, slow quotes, and unchased invoices are the three leaks that cost plumbing businesses the most money.
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How we build AI personalisation for plumbing businesses.

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

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The outcome for plumbing businesses

If we build the right slice first, plumbing businesses feel the difference inside the first month. Conversion lift of 18-32% over generic site experiences.

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 a typical engagement length for plumbing businesses?

Six to twelve weeks for the build, then a short managed-services month while the system goes from "shipped" to "owned by your team". After that you keep us on retainer if you want, or take it from there yourself.

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 plumbing business?

Yes. Conversion lift of 18-32% over generic site experiences. We'll share comparable engagements on the call.

Can you work with our existing systems?

Yes. The default AI personalisation stack we reach for is Claude, Vercel Edge, Postgres, Klaviyo, but we'll bend it around whatever you already run – Xero, HubSpot, Shopify, Cin7, your own in-house apps. The discovery week maps every data source before any build starts.

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