AI Readiness & Pilot

Why test before you buy

AI quality depends heavily on the task and the language. A system that writes good English summaries may read a scanned Lao invoice poorly. So we do not start with a server quote. We start with your material.

How the pilot runs

1. You choose 20–50 real samples: documents, forms, recordings or questions your staff ask every week. Include the hard ones.
2. We agree in writing what "good enough" means for each task, for example which fields must be read correctly and which a person will still check.
3. We run the samples on a test setup and return the results side by side with the originals. Every mistake stays visible.
4. We say plainly where it is weak: handwriting, mixed Lao–Thai–English text, poor scans, regional accents, noisy rooms.

What you get at the end

A short report: which tasks are worth doing now, which are not ready yet, what server size the useful tasks need, and how staff would check the output. If the answer is "not yet", that is a good answer, because you have spent nothing on hardware.

Your samples are handled under the same rules as a live system. We agree first where they are kept, they are never used to train a public AI model, and they are deleted or returned when the pilot ends. What usually comes next is a private document assistant or speech-to-text for meetings.