Built and supported here - the way a Sha Tin business would actually use it.

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 :)

The version of AI meeting notes that works for a Sha Tin business is rarely the version a national vendor would sell you. We build the one that fits how your team actually operates - usually with fewer parts than the off-the-shelf pitch.

What AI meeting notes actually does

Every call, site visit, or toolbox talk captured, summarised, and turned into action items in your CRM or project tool. No more 'who was meant to do that?'.

  • 01 Works on Teams, Zoom, Meet, or in-person recordings
  • 02 Action items auto-pushed to ClickUp, Asana, or Jira
  • 03 Searchable history across every meeting your team holds
  • 04 Confidentiality controls - what stays internal, stays

Built on: Whisper Claude Recall.ai Vercel

What you actually get

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

How AI meeting notes 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 Sha Tin operators actually lose hours.

  • 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 meeting notes 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 meeting capture.

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How the work runs

The outcome for Sha Tin teams

We'd call the engagement a success when Sha Tin teams are using the system without thinking about us. Saves managers ~5 hours a week on follow-up admin.

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

When does AI meeting notes actually pay back?

Inside the first quarter, in our experience. We pick the first slice specifically because it's the highest-leverage workflow for a Sha Tin - so the savings start landing before the rest of the build is finished.

How do you price AI meeting notes 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 Sha Tin businesses are surprised how small the first cheque is.

What's the realistic outcome for Sha Tin businesses?

Saves managers ~5 hours a week on follow-up admin. We don't promise tenfold lifts because we don't see them outside of marketing decks.

Will this run on our own infrastructure?

Yes, where it makes sense. AI meeting notes can sit entirely in your cloud account, with model calls routed through endpoints you control. We default to Whisper, Claude, Recall.ai, Vercel but the architecture supports your existing platform choices.

Skip the pitch.

Tell us the workflow and we'll come back with what we'd build first.

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.