For Long Beach operators who want a working pilot in weeks, not a year-long programme.

Our goal is to give Long Beach 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 Long Beach 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

Where Long Beach operators actually lose hours.

  • Long Beach runs one of the busiest ports in the Western Hemisphere alongside aerospace and healthcare - AI here means keeping freight, scheduling and compliance moving at port speed.
  • The Port of Long Beach and its surrounding logistics, freight-forwarding and customs-brokerage economy sit alongside a growing aerospace and healthcare base. Long Beach businesses want AI that keeps cargo, paperwork and appointments moving without a bottleneck.

We work with teams across Long Beach: Downtown Long Beach · Belmont Shore · Naples · Bixby Knolls · Alamitos Beach · Signal Hill.

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How we build AI personalisation for a Long Beach team.

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

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How the work runs

The outcome for Long Beach teams

What changes for Long Beach teams after this lands: the work that used to need a person stays done, the work that needs a person gets done with their attention undivided. 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.

Try the calculator

*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 Long Beach - so the savings start landing before the rest of the build is finished.

Do you do hourly billing or fixed price?

Fixed price for the pilot, every time. After that it's your call - fixed price per milestone or a small monthly retainer for ongoing iteration. We don't run open-ended T&M because it disincentivises us from finishing.

Anyone else in this space using AI personalisation?

Plenty. Conversion lift of 18-32% over generic site experiences. 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.

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.

Worth a conversation?

Even if you don't end up working with us, you'll leave the call knowing what's worth building.

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.