Kowloon · Applied AI
AI document processing in Kwun Tong
For Kwun Tong operators who want a working pilot in weeks, not a year-long programme.
What AI document processing actually does
Scanned invoices, signed contracts, handwritten timesheets, PDF specs – extracted into clean data and routed where they belong. No more typing what someone already wrote.
We've worked with enough operators in Kwun Tong 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 document processing project is sit with your team for a day before we propose anything.
- 01 Vision models read scans, photos, and handwriting
- 02 Pushes structured data into Xero, your CRM, or sheets
- 03 Confidence flags route low-certainty docs to a human
- 04 Handles te reo, bilingual forms, and old NZ templates
Built on: Claude Vision AWS Textract Mistral OCR Vercel
Why Kwun Tong businesses choose this
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.
What's different about doing this work in Kwun Tong.
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.
How we build AI document processing 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. Every engagement starts with a short call and a paid discovery if the brief needs one.
AI for paperwork.
The outcome for Kwun Tong teams
We'd call the engagement a success when Kwun Tong teams are using the system without thinking about us. Cuts data-entry labour by 80% on invoices, POs, and timesheets.
Cuts data-entry labour by 80% on invoices, POs, and timesheets.
AI document processing in Kwun Tong – common questions
When does AI document processing 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 Kwun Tong – so the savings start landing before the rest of the build is finished.
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.
Anyone else in this space using AI document processing?
Plenty. Cuts data-entry labour by 80% on invoices, POs, and timesheets. 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.
Will this run on our own infrastructure?
Yes, where it makes sense. AI document processing can sit entirely in your cloud account, with model calls routed through endpoints you control. We default to Claude Vision, AWS Textract, Mistral OCR, Vercel but the architecture supports your existing platform choices.
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.