Most companies don't lack AI tools. They lack a working path from data to results: processes that were never digitised, data missing the right dimensions, teams that don't know where to start, or tools that don't fit the job. Eporo finds the blocker — then helps you remove it.
The first step of any diagnosis is turning "why doesn't AI work here" into specific, solvable problems.
Key workflows live in WhatsApp threads, spreadsheets, and undocumented know-how — there's nothing for AI to plug into.
The systems hold data, but the dimensions, granularity, and quality can't support analysis or automation.
Tools get bought, but nobody knows how to fit them into daily work. Two weeks later, they're abandoned.
Adopting AI for AI's sake — with tools that don't touch the work that actually eats your team's time.
Pricing depends on your size and the scope of the diagnosis. You'll have a firm quote and timeline after the 30-minute intro call.
One week inside your day-to-day operations — watching how work actually flows, how data actually moves, and how your team actually spends its time. Not a questionnaire. How the week is structured (on-site vs. analysis) is something we agree together before we start, around your business.
NDA signed before we start · Analysis stays inside your environment · You end the week with a roadmap you can schedule and execute
Book a free 30-minute intro callOne method, applied to different operating realities.
Multiple platforms, multiple ERPs, fragmented data — and an ops team drowning in repetitive analysis.
The business runs, but reports are assembled by hand and processes live in people's heads. AI feels relevant, but where to start?
Jason Huang (黃嘉駿), founder of Eporo Technology, based in Hong Kong and working in English, Mandarin or Cantonese. Eight years building distributed systems at Amazon and Snowflake — the kind millions of people use every day.
At Amazon, as a Tech Lead, I built a closed-loop pipeline for search quality: a model makes the call, low-confidence results go to a human labelling team, and the new labels retrain the model. That taught me something that still holds — whether AI works inside a company usually has less to do with the model than with whether the handoffs between it and your people are wired up properly. In the same stretch I re-platformed the backend of a page carrying roughly 8.6 million customer visits a day, and built a shared widget framework whose best-performing component drove an estimated $10M a year.
At Snowflake, as a Senior Software Engineer and Tech Lead, I worked on the enterprise data platform itself — the layer companies worldwide trust with their most important data. I cut cluster start-up from about 7 minutes to 1.5, and took a data cleanup service to roughly 7× its throughput. But the more useful part for you is this: I consolidated 164 scattered system metrics into one dashboard people could actually read and act on. The problem inside companies is never a shortage of data — it's that the numbers disagree, nobody reads them, and when they do it still isn't clear what to do next. That is what I spent years fixing.
You might be wondering whether any of this transfers to a thirty-person company. The method does; the scale doesn't. What Amazon and Snowflake taught me was never "buy the most expensive tool" — it was measure first, then change one stretch of the process at a time. In a company of twenty people and a pile of spreadsheets that discipline pays off faster, not slower, because the bottlenecks are more obvious and the decision chain is shorter.
In the end it has always been the same job: find the most expensive stretch of a process, measure it, then make it shorter. I don't do generic "AI transformation consulting" — I start from your real data and real processes, find the highest-ROI steps, and help you build them.
The person you talk to is the person who does the work. I run the Sprint on-site myself — it never gets handed to a consultant or a junior.
The intro call is free. You describe where things stand; I tell you what I see — and if the Sprint isn't the right fit for you, I'll say so.
Email to book a call