New Territories · Applied AI
AI chatbots in Sha Tin
AI customer support – wired into a Sha Tin workflow, not bolted on the side.
What AI chatbots actually does
Trained on your business, not Wikipedia. AI assistants that answer pricing, hours, availability, bookings – and escalate cleanly when the customer needs a human.
Sha Tin sits in a regional context that genuinely changes the build. Connectivity assumptions, the rhythm of the working week, the proximity of your team to your customers – none of those are details our default AI chatbots template would catch.
- 01 Trained on your documents, FAQs, and past tickets
- 02 Books appointments, takes deposits, qualifies leads
- 03 Live hand-off to a human when needed
- 04 Daily quality reports so you stay in control
Built on: Claude OpenAI Custom RAG pipelines
Why Sha Tin businesses choose this
Sha Tin anchors the New Territories' manufacturing, logistics and science park economy – AI here means industrial-scale operations work, not office admin.
Our field notes from Sha Tin builds.
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.
How we build AI chatbots 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. Every engagement starts with a short call and a paid discovery if the brief needs one.
AI customer support.
The outcome for Sha Tin teams
What changes for Sha Tin 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. Handles 60-70% of routine enquiries without human input.
Handles 60-70% of routine enquiries without human input.
AI chatbots in Sha Tin – common questions
How fast could we have AI chatbots in production?
Eight to ten weeks for most Sha Tin businesses. Faster if your data is in good shape and slower if we're untangling a legacy integration first. We'll give you a realistic number on the scoping call rather than the optimistic one.
What's the smallest engagement you'd take on?
A two-week paid discovery for Sha Tin businesses that aren't sure whether the build is worth doing at all. You get a one-page write-up of what we'd build, what we'd skip, and what it would cost. About 30% of those discoveries end with us recommending you don't proceed.
Can you walk us through a comparable build?
Yes – on the first call we'll pick the closest engagement we've shipped to what you're describing and walk through the outcome, the headcount and the time it took. Handles 60-70% of routine enquiries without human input.
What if our Sha Tin doesn't have any data ready?
Most don't. Getting the data into shape – ingestion, cleaning, the lightweight contracts you need before any model is useful – is part of the engagement. For AI chatbots specifically, we typically run that work on Claude, OpenAI, Custom RAG pipelines and assume messy starting conditions from day one.
Twenty minutes, your call.
You describe what's broken. We'll tell you what we'd actually do about it.
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.