Hong Kong Island · Applied AI
AI knowledge base in Central
Built and supported here – the way a Central 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.
Most of our Central engagements start the same way: a 20-minute call where the owner describes a workflow we've heard before in shape but never in detail. AI knowledge base is then designed against the detail, not the shape.
- 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 Central businesses choose this
Central is Hong Kong's financial core, home to the regional headquarters of most major global banks – AI here has to meet a market built on precision, compliance and speed of execution.
Why Central businesses are a fit for this.
Hong Kong's stock exchange, the regional HQs of the world's biggest banks, and a dense wealth management and private banking sector all sit within a few blocks. Businesses here expect AI that's compliant-by-default and genuinely production-ready, not a pilot.
We work with teams across Central: Admiralty · Sheung Wan · IFC · Mid-Levels · Wan Chai.
How we build AI knowledge base for a Central team
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Central 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 Central teams
If we build the right slice first, Central teams feel the difference inside the first month. New staff get to productive 3x faster – less senior-team interruption.
New staff get to productive 3x faster – less senior-team interruption.
AI knowledge base in Central – common questions
What's a typical engagement length for Central 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.
Do you do hourly billing or fixed price?
Fixed price for the pilot, every time. After that it's your call – fixed price per milestone or a small monthly retainer for ongoing iteration. We don't run open-ended T&M because it disincentivises us from finishing.
Do you have proof this works for Central 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.
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.
Worth a conversation?
Even if you don't end up working with us, you'll leave the call knowing what's worth building.
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.