Kwun Tong businesses don't need another generic AI pitch. AI knowledge base 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 Kowloon.
AI knowledge base that lives in your stack, not on a vendor's roadmap. Shipped from Kowloon.
Our goal is to give Kwun Tong businesses a three-day weekend, so people can spend more time with their families and the people they love :)
What AI knowledge base actually does
Your team's tribal knowledge, finally searchable. Upload your SOPs, training videos, past emails, and Slack threads - your team asks questions and gets answers with citations.
- 01 Ingests PDFs, Word docs, videos, Slack, Notion, Drive
- 02 Answers with citations back to source documents
- 03 Permission-aware - staff only see what they should
- 04 Detects stale docs and prompts owners to update
Built on: Claude Pinecone Vercel AI SDK Postgres MCP
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 knowledge base 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 Kwun Tong 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 knowledge base 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 |
What we keep seeing in Kwun Tong.
- Kwun Tong has rebuilt itself from an industrial district into Hong Kong's startup and creative hub - AI here supports a business scene that's already used to reinventing fast.
- Former factory blocks have become one of the densest concentrations of startups, design studios and creative agencies in the city. Businesses here want AI that's genuinely modern, not a legacy tool with a new coat of paint.
We work with teams across Kwun Tong: Kowloon Bay · Ngau Tau Kok · Lam Tin · Cha Kwo Ling.
Talk to us about this →
How we build AI knowledge base for a Kwun Tong team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Kwun Tong business, so value lands before the build is finished. Internal AI knowledge base.
Talk to usHow the work runs
- Find the one workflowWe look for the job costing Kwun Tong 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 Kwun Tong teams
What changes for Kwun Tong 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. New staff get to productive 3x faster - less senior-team interruption.
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 knowledge base with a Kwun Tong?
Most Kwun Tong 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 knowledge base worth it for a smaller Kwun Tong?
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.
Do you have proof this works for Kwun Tong businesses?
Direct case study: New staff get to productive 3x faster - less senior-team interruption. Happy to walk you through full numbers on a call.
What happens if we want to swap a vendor out later?
AI knowledge base 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, Pinecone, Vercel AI SDK, Postgres, MCP are our defaults, but the build is intentionally portable.
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.