Cyberport businesses don't need another generic AI pitch. AI customer growth only earns its keep when it's built around the workflow you actually run on a wet Tuesday, and that's how we scope every engagement we take on in Hong Kong Island.
Get me more customers - wired into a Cyberport workflow, not bolted on the side.
Our goal is to give Cyberport businesses a three-day weekend, so people can spend more time with their families and the people they love :)
What AI customer growth actually does
A done-for-you AI growth engine that runs the full top-of-funnel motion - lookalike prospecting, multi-channel outreach, qualification, and meeting booking - and hands warm conversations to your closers. The 'just get me more customers' button, run by an AI agent.
- 01 Defines your ideal customer profile from your existing best accounts
- 02 Builds and refreshes prospect lists weekly
- 03 Owns first contact through to booked meeting
- 04 Reports weekly on what's working - and stops what isn't
Built on: Claude + GPT-4 orchestration Apollo / Clay / LinkedIn Sales Navigator HubSpot or your existing CRM Custom dashboards in Retool
Without Kiwi Dynamics
With Kiwi Dynamics
What you actually get
Every engagement is scoped and quoted up front. This is what is in the box.
- A working pilot, in productionNot a prototype on someone's laptop. The first slice of AI customer growth runs against real work within weeks.
- Your data stays yoursIt runs on your accounts and your tools. If we part ways you keep the system and everything in it.
- The workflow mapped before codeWe write down what good looks like for Cyberport businesses first, so nobody is guessing at handover.
- Support after it landsThe people who built it stay reachable when the business changes shape around it.
How AI customer growth compares
The two things most businesses do instead, and where each one runs out.
| Hiring for it | An off-the-shelf tool | Kiwi Dynamics | |
|---|---|---|---|
| Fit to how you work | Fits perfectly, costs a salary | You bend your process to suit the tool | Built around the workflow you already run |
| Time to something useful | Immediate, and permanent | Quick to switch on, slow to make fit | A working slice in weeks, then hardened |
| Who owns the data | You do | The vendor, on the vendor's terms | You do, in your own accounts |
| When it breaks | That person sorts it, if they are in | A support queue and a ticket number | The people who built it |
| What it costs | A salary, every year, forever | Per seat, forever, used or not | Scoped and quoted up front |
Our field notes from Cyberport builds.
- Cyberport is Hong Kong's dedicated tech and fintech precinct, purpose-built to house the city's startup and digital economy - AI here is judged by founders and engineers, not procurement committees.
- A government-backed tech park concentrating fintech, AI and digital media startups alongside venture capital and accelerator programs. Businesses here expect AI built with real technical rigor, since many of them build software themselves.
We work with teams across Cyberport: Pok Fu Lam · Telegraph Bay · Wah Fu · Aberdeen.
Talk to us about this →
How we build AI customer growth for a Cyberport team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Cyberport business, so value lands before the build is finished. Get me more customers.
Talk to usHow the work runs
- Find the one workflowWe look for the job costing Cyberport businesses the most hours or the most leads, and deliberately ignore the rest for now.
- Ship a working sliceA narrow version goes into production in weeks, against real work, so the value shows up before the build is finished.
- Prove it, then widenWe measure it against what the work cost before. If it does not pay for itself, we say so rather than scaling it.
- Harden and hand overLogging, fallbacks and a real handover, so it keeps running when we are not in the room.
The outcome for Cyberport teams
The shape of the result for Cyberport teams: Doubled an NZ professional services firm's qualified pipeline in 90 days - no new headcount. Built on Claude + GPT-4 orchestration, hardened with the rest of the stack as it scales.
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
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
FAQ
What's the realistic timeline for AI customer growth with a Cyberport?
Most Cyberport 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".
Is AI customer growth worth it for a smaller Cyberport?
Often, yes - and counterintuitively the ROI is sometimes faster than for the big end of town because there's less integration overhead. We'll tell you honestly on the scoping call if it isn't.
Anyone else in this space using AI customer growth?
Plenty. Doubled an NZ professional services firm's qualified pipeline in 90 days - no new headcount. 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.
What happens if we want to swap a vendor out later?
AI customer growth 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 + GPT-4 orchestration, Apollo / Clay / LinkedIn Sales Navigator, HubSpot or your existing CRM, Custom dashboards in Retool 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.