Hong Kong Island · Applied AI
AI agents in Cyberport
AI agents designed around the way a Cyberport team actually runs.
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.
Cyberport businesses don't need another generic AI pitch. AI agents only earns its keep when it's built around the workflow you actually run on a wet Tuesday, and that's how we scope every engagement we take on in Hong Kong Island.
- 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 Cyberport businesses choose this
Cyberport is Hong Kong's dedicated tech and fintech precinct, purpose-built to house the city's startup and digital economy – AI here is judged by founders and engineers, not procurement committees.
What Cyberport teams tell us when they get on a call.
A government-backed tech park concentrating fintech, AI and digital media startups alongside venture capital and accelerator programs. Businesses here expect AI built with real technical rigor, since many of them build software themselves.
We work with teams across Cyberport: Pok Fu Lam · Telegraph Bay · Wah Fu · Aberdeen.
How we build AI agents for a Cyberport team
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Cyberport 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 Cyberport teams
If we build the right slice first, Cyberport 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 Cyberport – common questions
How quickly can we see something running?
Week three for a clickable internal demo against real data. Week six for a slice your team can actually use. We hold ourselves to those numbers because they're what stops a project drifting into "endless discovery".
Is AI agents worth it for a smaller Cyberport?
Often, yes – and counterintuitively the ROI is sometimes faster than for the big end of town because there's less integration overhead. We'll tell you honestly on the scoping call if it isn't.
Has this actually shipped for a real Cyberport?
Yes. Replaces 15+ hours of weekly back-office work per agent deployed. We'll share comparable engagements on the call.
What tools do you build AI agents on?
For AI agents we usually reach for Claude Agent SDK, OpenAI Agents, LangGraph, n8n, MCP. We're tool-agnostic at heart – we pick what your Cyberport team can actually run after we hand the build over, not what looks good on a vendor sticker.
One reply, one direction.
We don't run sequences or follow-up automation. One useful answer, one decision on your side.
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.