DASHBOARDS NOBODY OPENS
The AI budget goes on reports and dashboards that get built once and looked at never, while the work between people still moves by hand.
AI ADOPTION that generates REAL ROI
We build agents that handle invoices, quotes, reconciliations, supplier email and reporting for Hong Kong companies, on the systems you already use. From solo founders to teams of 200. A private, on‑premise path when the data demands it.
BOOK A WORKING SESSIONWORKING WITH COMPANIES ACROSS HONG KONG
PILOTS THAT STALL
Proofs of concept impress in the demo, then never reach the daily work
YOU BOUGHT THE TOOLS. yet nothing moved faster.
Most companies do not need another licence or another training day. They need the routine work taken off their people, done reliably, on the systems they already have. Four things usually get in the way.
IT NEEDS A MIGRATION FIRST
The vendor wants the data moved into their platform before anything runs. Six months later, nothing runs.
THE DATA RULES ARE UNCLEAR
Nobody says what may go into which tool. People paste too much into public models, or avoid AI completely. Both cost you.
THE PILOT NEVER LANDS
A demo works in a sandbox and stalls before production. The gap between a pilot and daily use is where most AI budgets go to die.
That is why we build inside the systems you already run, with the people who do the work, and hand over something that keeps running.
ONE WORKFLOW, across every system.
A quote starts in the CRM, becomes an invoice in accounting, then a folder in file storage and an email to the client. We build agents on top of the systems you already pay for, so the workflow runs as one. We will never make you migrate off your systems. If you want to, we will help you through it.
BUILT ON WHAT YOU OWN
Your current systems stay the system of record. Agents read and write through their official interfaces. Nothing is migrated, nothing replaced.
ONE FLOW, END TO END
The agent carries a task across your tools: the same record moves from quote to invoice to filing, without being retyped along the way.
A PERSON STAYS IN CHARGE
Agents draft, reconcile and prepare. A named person on your team approves what matters. Every action is logged, every rule is written down, and you can switch any agent off.
HOW IT gets built.
Every build runs the same way, whether it is one agent or a full set. Plain steps, and something that runs at the end.
1
WALK THE WORK
We sit with the people who do it and map how the work actually moves today, system by system, including the parts nobody wrote down.
2
BUILD IT IN
We build the agent into the systems you already use, agree the data rules and who approves what, and run it on live cases with your team until it holds.
3
HAND IT OVER
You get the running agent, the written rules, the logs and a runbook your team can follow. We stay on call, or you take it from here.
If a piece of work turns out not to suit an agent, we say so before you pay for it. YOU KEEP EVERYTHING, WHATEVER YOU DECIDE.
FEES, after we see the work.
A free working session, then a written fee for that build. Software, cloud and hardware are billed separately unless the proposal says otherwise.
BOOK A WORKING SESSION
FOR WORK THAT cannot leave THE BUILDING
Most companies only need approved accounts and clear rules. When the data demands more, we add a gateway you control, or a model on hardware you own. Use the level of control the work actually requires.
FOR TEAMS THAT NEED APPROVED ACCESS FAST
Approved tools
Accounts in your name, written rules for safe use, staff training, and a plan for daily work.
FOR TEAMS THAT NEED MASKING AND LOGS
A gateway you control
Your team reaches external models through one gate in your cloud account. It masks sensitive data, logs use, and caps spend.
FOR WORK THAT MUST STAY ON‑SITE
A model on your hardware
A private model on machines you own, tested on your real workload, with a written runbook for your team.
You keep the accounts, the keys, the logs, and the hardware. You can remove our access at any time.
AN INDEPENDENT practice in Hong Kong.
AlpinTech was founded by Johannes Janousek.
He brings years of experience as an AI engineer and data scientist, including at Massar Capital, the New York macro hedge fund that won the HFM award for best macro performance. He holds an MSc in Data Science from King’s College London, held startup roles in Berlin and Hong Kong, and is an Anthropic‑certified Claude Code Architect.
The practice is independent: no reseller agreements, no commissions, and no platform of its own to move you onto. Agents are built on what fits your systems and your data policy, and every build is documented so it keeps running after we leave.
MORE ABOUT ALPINTECH →- MASSAR CAPITAL, NEW YORK
- Data scientist at the HFM‑award‑winning macro fund
- KING’S COLLEGE LONDON
- MSc Data Science
- BERLIN · HONG KONG
- AI engineering and startup roles
- ANTHROPIC
- Certified Claude Code Architect ↗
QUESTIONS, before you start.
Who is this for?
Companies from solo founders to teams of 200. Invoices, quotes, reconciliations, supplier email, reporting, document review: the routine work, on the systems they already run.
How do you handle data and security?
We agree the rules in writing before we start: which tools are approved, what may go into a model, and who reviews the output. Most companies only need approved accounts and clear rules. When the data demands more, we add a gateway you control, or a model on hardware you own.
What happens after you hand it over?
You get the running agent, the written rules, the logs and a runbook. We stay on call, or you take it from here. If the work holds, the next build is another agent on the same systems.
Do you work in person or remotely?
Both. Based in Hong Kong, on site with local teams, remote for teams elsewhere.
TELL US ABOUT the team and the task.
A short note is enough: what the team does and what you want to change. Kept confidential; no sensitive data is needed at this stage.