AI lead qualification designed around the way a Sha Tin team actually runs.

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

Sha Tin 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 lead qualification template would catch.

What AI lead qualification actually does

Every form-fill, every missed call, every Instagram DM - scored, enriched, and routed within minutes. Your team only sees leads that match your ideal customer.

  • 01 Auto-enriches with NZBN, company size, and history
  • 02 Scores using your past won/lost deals as training data
  • 03 Hot leads get SMS-routed to the right rep instantly
  • 04 Cold leads enter nurture, not the bin

Built on: Claude HubSpot NZBN API Twilio Vercel

What you actually get

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

How AI lead qualification 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

Our field notes from Sha Tin builds.

  • Sha Tin anchors the New Territories' manufacturing, logistics and science park economy - AI here means industrial-scale operations work, not office admin.
  • Hong Kong Science Park and a broad manufacturing and logistics base serving cross-border trade with mainland China sit here. Businesses want AI that handles scheduling, compliance and cross-border logistics without becoming the bottleneck.

We work with teams across Sha Tin: Science Park · Tai Wai · Fo Tan · Ma On Shan.

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How we build AI lead qualification for a Sha Tin team.

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

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How the work runs

The outcome for Sha Tin teams

What changes for Sha Tin 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. Sales reps spend 70% less time on dead-end conversations.

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

What's the realistic timeline for AI lead qualification with a Sha Tin?

Most Sha Tin 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 lead qualification cost for a Sha Tin?

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.

Do you have proof this works for Sha Tin businesses?

Direct case study: Sales reps spend 70% less time on dead-end conversations. Happy to walk you through full numbers on a call.

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

AI lead qualification 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, HubSpot, NZBN API, Twilio, Vercel are our defaults, but the build is intentionally portable.

One reply, one direction.

We don't run sequences or follow-up automation. One useful answer, one decision on your side.

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.