AI roadmap + plan, built for businesses operating in Cyberport.

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 :)

We've worked with enough operators in Cyberport 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 strategy project is sit with your team for a day before we propose anything.

What AI strategy actually does

A clear-eyed AI roadmap built for your business - not a generic deck. We sit with your team, map the high-value plays, and write the build order. You leave with a plan you could actually start tomorrow.

  • 01 On-site discovery with the people doing the work
  • 02 Ranked initiatives with ROI, effort, and risk
  • 03 Tool selection - not married to any vendor
  • 04 Phased 90-day plan you can execute or hand off

Built on: Claude Notion Miro Linear

What you actually get

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

How AI strategy 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

Why Cyberport businesses are a fit for this.

  • 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.

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How we build AI strategy 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. AI roadmap + plan.

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How the work runs

The outcome for Cyberport teams

If we build the right slice first, Cyberport teams feel the difference inside the first month. Most plans pay for themselves in the first build.

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 strategy take to ship for Cyberport businesses?

We aim for a working pilot inside 4-6 weeks - narrow scope, real Cyberport 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.

Are there hidden costs we should plan for?

Three to know about: model/API spend (which we set up under your own account, not ours, so you see and control it), any new SaaS subscriptions we recommend, and your team's time during rollout. We surface all three in the quote so there are no surprises.

Do you have proof this works for Cyberport businesses?

Direct case study: Most plans pay for themselves in the first build. Happy to walk you through full numbers on a call.

Who owns the code and the model setup?

You do, on delivery. We deploy AI strategy 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.