Hong Kong Island · Applied AI
AI HR assistant in Central
For Central operators who want a working pilot in weeks, not a year-long programme.
What AI HR assistant actually does
An AI HR assistant trained on your policies, awards, and the Employment Relations Act. Answers staff questions, drafts contracts, screens applicants, and flags HR risk – without replacing your people lead.
The version of AI HR assistant that works for a Central business is rarely the version a national vendor would sell you. We build the one that fits how your team actually operates – usually with fewer parts than the off-the-shelf pitch.
- 01 Answers leave, pay, and policy questions 24/7
- 02 Drafts contracts, warnings, and PIPs from templates
- 03 Screens CVs against role criteria with reasoning
- 04 Flags ER risks before they become disputes
Built on: Claude Employment Hero API BambooHR Vercel
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.
The Central context, plainly.
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 HR assistant 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.
AI HR and people ops.
The outcome for Central teams
What changes for Central 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. HR enquiries drop 65% in the first month – leaders get their week back.
HR enquiries drop 65% in the first month – leaders get their week back.
AI HR assistant 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.
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 HR assistant?
Plenty. HR enquiries drop 65% in the first month – leaders get their week back. 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 HR assistant stack we reach for is Claude, Employment Hero API, BambooHR, Vercel, 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.
Ready to talk specifics?
Scroll up – the form's right there.
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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.