AI personalised CX, built for businesses operating in Singapore.

Our goal is to give Singapore 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 Singapore 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 Singapore operators actually lose hours.

  • Singapore has one of the highest AI adoption rates in the world, and the CBD runs on banking, wealth management and regional HQ operations - AI here has to meet a market that's already fluent in it.
  • Home to the regional headquarters of most major global banks and a dense wealth management sector, sitting inside a government that's pushed AI adoption harder than almost any other country. Singapore businesses expect AI that's precise, compliant and genuinely production-ready, not a pilot.

We work with teams across Singapore: Raffles Place · Marina Bay · Shenton Way · Tanjong Pagar · City Hall.

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How we build AI personalisation for a Singapore team.

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

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How the work runs

The outcome for Singapore teams

What changes for Singapore 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

How long does AI personalisation take to ship for Singapore businesses?

We aim for a working pilot inside 4-6 weeks - narrow scope, real Singapore businesses data, measurable outcome. From there it's another 6-8 weeks of hardening before you'd consider it production. Full rollouts (multiple sites, multiple teams) typically land in 3-4 months.

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 Singapore businesses are surprised how small the first cheque is.

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.

Who owns the code and the model setup?

You do, on delivery. We deploy AI personalisation into your own cloud account where possible, with the model setup, prompts, evals and integration code all checked into a repo you own. Claude sits in your account too - we don't operate it from ours.

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.