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

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

Jurong sits in a regional context that genuinely changes the build. Connectivity assumptions, the rhythm of the working week, the proximity of your team to your customers - none of those are details our default AI personalisation template would catch.

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 pattern across Jurong engagements we've shipped.

  • Jurong is Singapore's industrial heartland - petrochemicals, manufacturing and a growing innovation district - AI here means handling operational and compliance work at industrial scale.
  • Jurong Island's petrochemical complex and a broad manufacturing base sit alongside the newer Jurong Innovation District pushing into advanced manufacturing and robotics. Businesses here want AI that fits heavy operational and safety-compliance workflows, not a generic office tool.

We work with teams across Jurong: Jurong Island · Jurong East · Jurong West · Tuas · Boon Lay.

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How we build AI personalisation for a Jurong team.

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

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How the work runs

The outcome for Jurong teams

If we build the right slice first, Jurong teams 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.

FAQ

How fast could we have AI personalisation in production?

Eight to ten weeks for most Jurong businesses. Faster if your data is in good shape and slower if we're untangling a legacy integration first. We'll give you a realistic number on the scoping call rather than the optimistic one.

What does AI personalisation cost for a Jurong?

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 if our Jurong doesn't have any data ready?

Most don't. Getting the data into shape - ingestion, cleaning, the lightweight contracts you need before any model is useful - is part of the engagement. For AI personalisation specifically, we typically run that work on Claude, Vercel Edge, Postgres, Klaviyo and assume messy starting conditions from day one.

Twenty minutes, your call.

You describe what's broken. We'll tell you what we'd actually do about it.

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