Built and supported here - the way a Houston business would actually use it.

Our goal is to give Houston businesses a three-day weekend, so people can spend more time with their families and the people they love :)

We've worked with enough operators in Houston 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 personalisation project is sit with your team for a day before we propose anything.

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

What you actually get

Every engagement is scoped and quoted up front. This is what is in the box.

How AI personalisation compares

The two things most businesses do instead, and where each one runs out.

 Hiring for itAn off-the-shelf toolKiwi Dynamics
Fit to how you workFits perfectly, costs a salaryYou bend your process to suit the toolBuilt around the workflow you already run
Time to something usefulImmediate, and permanentQuick to switch on, slow to make fitA working slice in weeks, then hardened
Who owns the dataYou doThe vendor, on the vendor's termsYou do, in your own accounts
When it breaksThat person sorts it, if they are inA support queue and a ticket numberThe people who built it
What it costsA salary, every year, foreverPer seat, forever, used or notScoped and quoted up front

The Houston context, plainly.

  • Houston runs on energy, petrochemicals and one of the country's biggest medical centres - AI here means handling compliance-heavy, high-stakes work without cutting corners.
  • The energy capital of the US, a huge petrochemical complex along the Ship Channel, and the Texas Medical Center, one of the largest hospital systems in the world. Houston businesses want AI that's rigorous first, fast second.

We work with teams across Houston: Downtown · The Woodlands · Sugar Land · Katy · Energy Corridor · Midtown.

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How we build AI personalisation for a Houston team.

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

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How the work runs

The outcome for Houston teams

Conversion lift of 18-32% over generic site experiences. For Houston teams, 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

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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.

FAQ

When does AI personalisation actually pay back?

Inside the first quarter, in our experience. We pick the first slice specifically because it's the highest-leverage workflow for a Houston - so the savings start landing before the rest of the build is finished.

How do you price AI personalisation engagements?

Fixed-scope pilots first, then either project pricing or a small monthly retainer for the ongoing work. No long lock-ins, no 18-month black-box deals. Most Houston businesses are surprised how small the first cheque is.

Do you have proof this works for Houston businesses?

Direct case study: Conversion lift of 18-32% over generic site experiences. Happy to walk you through full numbers on a call.

Will this run on our own infrastructure?

Yes, where it makes sense. AI personalisation can sit entirely in your cloud account, with model calls routed through endpoints you control. We default to Claude, Vercel Edge, Postgres, Klaviyo but the architecture supports your existing platform choices.

Ready to talk specifics?

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