Hong Kong Island · Applied AI
AI agents in Central
AI agents that do work, built for businesses operating in Central.
What AI agents actually does
Autonomous AI agents that don't just answer – they get things done. They check inventory, draft proposals, file paperwork, and chase quotes while your team focuses on the human work.
The version of AI agents 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 Goal-driven agents that complete multi-step tasks
- 02 Connect to your tools – Xero, HubSpot, Gmail, Slack, your CRM
- 03 Human-in-the-loop checkpoints for anything risky
- 04 Full audit log of every action the agent takes
Built on: Claude Agent SDK OpenAI Agents LangGraph n8n 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.
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 agents 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 agents that do work.
The outcome for Central teams
If we build the right slice first, Central teams feel the difference inside the first month. Replaces 15+ hours of weekly back-office work per agent deployed.
Replaces 15+ hours of weekly back-office work per agent deployed.
AI agents in Central – common questions
When does AI agents 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 Central – 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.
Has this actually shipped for a real Central?
Yes. Replaces 15+ hours of weekly back-office work per agent deployed. We'll share comparable engagements on the call.
Will this run on our own infrastructure?
Yes, where it makes sense. AI agents can sit entirely in your cloud account, with model calls routed through endpoints you control. We default to Claude Agent SDK, OpenAI Agents, LangGraph, n8n, MCP 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.