Hong Kong Island · Applied AI
AI knowledge base in Quarry Bay
Built and supported here – the way a Quarry Bay business would actually use it.
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.
We've worked with enough operators in Quarry Bay 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 knowledge base project is sit with your team for a day before we propose anything.
- 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
Why Quarry Bay businesses choose this
Quarry Bay has become Hong Kong Island's secondary business hub, home to regional offices priced out of Central – AI here means Central-grade capability at a lower cost base.
The Quarry Bay context, plainly.
A dense cluster of regional headquarters and professional services firms that moved east for the rent, alongside a growing media and publishing sector. Businesses here want the same AI standard as Central without the Central price tag.
We work with teams across Quarry Bay: Tai Koo · North Point · Fortress Hill · Sai Wan Ho.
How we build AI knowledge base for a Quarry Bay team
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Quarry Bay business, so value lands before the build is finished. Every engagement starts with a short call and a paid discovery if the brief needs one.
Internal AI knowledge base.
The outcome for Quarry Bay teams
The shape of the result for Quarry Bay teams: New staff get to productive 3x faster – less senior-team interruption. Built on Claude, hardened with the rest of the stack as it scales.
New staff get to productive 3x faster – less senior-team interruption.
AI knowledge base in Quarry Bay – common questions
What's a typical engagement length for Quarry Bay businesses?
Six to twelve weeks for the build, then a short managed-services month while the system goes from "shipped" to "owned by your team". After that you keep us on retainer if you want, or take it from there yourself.
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.
Anyone else in this space using AI knowledge base?
Plenty. New staff get to productive 3x faster – less senior-team interruption. 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.
Can you work with our existing systems?
Yes. The default AI knowledge base stack we reach for is Claude, Pinecone, Vercel AI SDK, Postgres, MCP, but we'll bend it around whatever you already run – Xero, HubSpot, Shopify, Cin7, your own in-house apps. The discovery week maps every data source before any build starts.
The honest version of a sales call.
No deck. No discovery doc. Just whether this is worth building and what it would cost.
Get in touch
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.