Conversational AI for Thailand, wired into your service desk.

No, and we will not imply otherwise. Brainvire has offices in the United States, the United Arab Emirates, Singapore and India, with 1,000+ engineers behind them, and delivers to Thailand remotely. Indochina Time overlaps a full working day with our delivery centres, so your named delivery owner is reachable inside your own office hours. If you want people in a room in Bangkok for conversation design, say so at scoping and we will plan the travel rather than pretend it is not travel.

Not yet, and dressing up work from another market as local would be the fastest way to lose your trust. What we can show is delivered conversational work: intent classification and drafted replies inside American Lighting’s service desk, which took one desk from about 250 orders a day to between 400 and 1,000; chat ordering wired into Planet Pharmacy’s platform across 700+ pharmacies; and an HR assistant rebuilt on OpenAI for a client who did not release figures. Our documented work for groups trading into Thailand is Odoo and commerce, on our Odoo ERP in Thailand page.

Yes, and it takes deliberate engineering rather than a language setting. Thai is written without spaces between words, so segmentation runs before anything is indexed, chunked for retrieval or matched to an intent. Messages carry Buddhist Era dates, thirteen digit national ID numbers and Thai address formats, all of which have to be recognised and normalised. Customers routinely mix Thai and English inside a single sentence, so the intent model is trained on that rather than on clean text.

Yes, and for most Thai consumer brands that is where it should launch. We build against the LINE Messaging API for a LINE Official Account, then extend the same assistant to web chat, your own app, WhatsApp and voice. One intent model and one knowledge base serve every channel, so a customer who starts a question on LINE and finishes it on your website is not asked to repeat it.

Treat a transcript as personal data from the first message, because that is what it is once an identifier appears in it. During discovery we record the lawful basis for every field the assistant captures, redact or drop what it does not need before a model sees it, and agree a retention period with you rather than accepting a vendor default. Consent wording at the chat entry point is drafted with your team. If a customer later asks what was held about them, the answer has to be producible, so we design for that rather than retrofitting it.

That is the usual shape of the work. Assistants connect to Salesforce, Odoo, Adobe Commerce and ticketing tools through their own interfaces, so the assistant checks a real order, raises a real ticket or books a real appointment instead of telling the customer where to go and do it. The American Lighting build is exactly that pattern: a message arrives in the service desk at one end and a validated draft order appears in Adobe Commerce at the other.

It depends on how much the assistant has to know about your own products and systems. A narrow question and answer bot can start on an off-the-shelf platform and often should. An assistant that has to close a contact end to end needs your intent data, your policy content and integration into the systems that hold the answer, and that is where we get engaged. We will say plainly when a product would serve you better than a build.

Every assistant ships with a test harness and a baseline. Containment rate, escalation reasons, answer accuracy and handover quality are tracked against that baseline in Thai and in English, so a prompt or model change is judged on evidence rather than on a feeling that it reads better. The walkthrough happens with your team before release, and the reporting transfers to you afterwards while we pair through the first tuning cycle.

We work in English. Calls, documentation and support for Thailand are delivered in English by our Singapore team.