Relw.AI Relw.AI Relw.AI Build
We start from your operation, not our catalogue. Discovery maps how the work moves today. We design the workflows around it, then build, run and maintain them, from a handful of processes to the whole operating layer of the business.
Who it is for
Pricing
Every Build engagement is priced before work begins, so you know the full number before you commit. These are starting points, not rack rates.
For a business putting its operations onto one system: the processes it runs on, the way it records them, and the people who need to see them.
from S$10,000 setup
+ from S$1,000 / month
For a business running end to end on it. The full set, across teams, with the back office included.
from S$20,000 setup
+ from S$2,000 / month
A full application build - a portal, a datastore, a dedicated interface - is scoped and priced separately, and only when the process genuinely needs one.
How it works
Discovery
A working session to map how the work moves today: what the inputs are, where decisions get made, where it slows down. We identify the highest-value thing to build first.
Design
What the AI does, what plain automation handles, and where human judgment stays in the loop. You see the design before anything is built.
Build
On your stack, in your accounts. Where the process needs a real application, we scope and price that separately rather than hiding it in a setup fee.
Go live
One workflow goes live first, so you feel the difference before we scale. Then the next, and the next.
Run and maintain
Once live it is our job. We monitor it, improve it, and adapt it as the business changes, so it does not go stale six months in.
In practice
Two systems we built and still run. The point of each is not that it automated a task. It is that the business runs on it.
Room and bed inventory, resident records, check-in and check-out, attendance, curfews and allowances. A student app and a parent portal alongside the staff dashboard, so one set of records serves three audiences and nobody re-keys anything. Reporting that answers a question rather than exporting a spreadsheet.
No existing system came close to fitting how they actually operate. As they add locations, the same team runs all of them.
Inventory, dealer purchase orders, payment verification and compliance checks, as one flow from order through to payment rather than four systems and a spreadsheet between them.
The compliance step sits inside the process, not beside it. Medical supply distribution has rules about what may be sold to whom and what has to be recorded, and those checks run at the point the decision is made instead of in a checklist someone is meant to remember.
Why this is reliable rather than merely automated is the premise everything else rests on: the judgment stays yours, and the system is built so it cannot take it.
Why Relw.AI
Built by Ethan Seow, a cybersecurity practitioner turned AI engineer. PDPA-aware, PII handled, isolated by design. Security is the starting point, not something bolted on afterwards.
You use it. We build it, run it, monitor it and keep it improving. No workflow tool to learn, nothing to wire together.
Your data is yours, and the workflows we build for your operation are yours - ask and they come out with you. The platform they run on stays ours, which is what lets us keep it running. No lock-in, no hostage data.
One workflow live first, then the rest. You feel the difference before you scale it.
A discovery session to map your operation and scope the first workflow. You see the design before anything is built.
Book a discovery call