AI personalisation that lives in your stack, not on a vendor's roadmap. Shipped from California.

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

The reason we take on work in Fresno is that the businesses here tend to be sharper about what they want than the brief lets on. AI personalisation for a Fresno team almost always ends up looking different to AI personalisation for a downtown Auckland one.

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

What Fresno teams tell us when they get on a call.

  • Fresno is the commercial hub of the Central Valley, the most productive agricultural region in the country - AI here means turning harvest and logistics data into decisions.
  • Almonds, grapes and a huge share of the nation's produce move through Fresno's agribusiness and packing economy. Fresno businesses want AI that handles forecasting, logistics and seasonal staffing without a Silicon Valley budget.

We work with teams across Fresno: Downtown Fresno · Tower District · Clovis · Fig Garden · Woodward Park · Sunnyside.

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How we build AI personalisation for a Fresno team.

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

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How the work runs

The outcome for Fresno teams

What changes for Fresno 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.

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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

What's the realistic timeline for AI personalisation with a Fresno?

Most Fresno businesses 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".

What does AI personalisation cost for a Fresno?

Pilots start from a fixed scope priced to land a measurable result inside 6 weeks. Pricing depends on data volume, integration complexity, and whether you need us on managed services afterwards. We'll quote precisely after a 30-minute scoping call.

Can you walk us through a comparable build?

Yes - on the first call we'll pick the closest engagement we've shipped to what you're describing and walk through the outcome, the headcount and the time it took. Conversion lift of 18-32% over generic site experiences.

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

AI personalisation 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, Vercel Edge, Postgres, Klaviyo 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.

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.