AI Chatbot Malaysia That Answers From Your Own Documents

An AI chatbot for business answers customer or staff questions in ordinary language using the company's own approved information, rather than following a fixed script of buttons. It runs on a website, on WhatsApp, or on internal chat, cites where its answer came from, and hands over to a person when the question falls outside what it is allowed to answer. The difference from a template bot is that it still works when a customer phrases something nobody predicted.

Yes. We can connect an AI chatbot to WhatsApp Business, website chat, or internal channels, with routing, handover, and message guardrails for Malaysian SMEs.

A free chatbot usually follows fixed scripts. A custom AI chatbot uses your SOPs, product details, policies, and integrations to answer more useful questions with better control.

Yes, and it is worth testing before launch. Malaysian customers routinely switch language mid-sentence, and a scripted bot built with one flow per language breaks on the first mixed message. A RAG chatbot interprets the question and replies in the language the customer used. Where your approved answers only exist in one language, we agree during the content audit whether the bot translates them or escalates, because an unreviewed translation of a warranty term is not something to guess at.

Yes. Where the data cannot leave your infrastructure — patient records, employee files, unreleased pricing — we deploy the model inside your environment or private cloud instead of calling a public API. It changes the shape of the cost rather than just the number: you take on hosting and hardware, and the choice of model narrows to what runs well on the machine you have. Private deployment is enterprise scope, starting from RM 15,000 and quoted on complexity.

Our chatbot builds are fixed-scope sprints, typically RM 8,000-15,000, covering one channel and one knowledge base — content audit, RAG build, guardrails and escalation, deployment, and training. Enterprise scope starts from RM 15,000 and is quoted on complexity. Running costs are separate: model usage is billed per token by the provider, and WhatsApp messaging is billed by Meta. We give you a monthly estimate in MYR before you commit.

Four things, and they are all about your systems. Several channels running at once instead of one. Answers pulled live from stock, order, or booking systems instead of static documents. More than one language needing sign-off before launch. Or deployment on a private or local model because the data cannot leave your infrastructure. Any of those puts a project above RM 15,000, and we quote it after scoping.

At the start, yes, and for simple flows it stays cheaper. A subscription is the better buy when the questions are predictable, the volume is modest, and someone on your team will own it. What changes the answer is time and dependence: the subscription keeps billing every month for as long as the bot runs, while a build stops after handover, and at the end of a subscription your content sits in the vendor account and your conversation history leaves with them. Get the current monthly figure from the platform you are shortlisting, check what it does when you pass the conversation cap, and we will tell you which side of that line you are on during the scoping call.

An automated bot runs on the WhatsApp Business Platform, not the WhatsApp Business phone app, so you need a verified business account, an approved sender number, and message templates reviewed by Meta for anything the bot initiates. Business verification depends on your documentation and is usually the longest lead time in the project, so we start it at the beginning.

It says so and hands over, which is a design decision, not a limitation. Guardrails define the topics the bot is allowed to answer, and anything outside them — or anything it is not confident about — escalates to a human with the conversation summarised so your staff are not reading from the top. A bot that guesses is worse than no bot at all.

RAG stands for retrieval-augmented generation. The bot searches your approved documents for the relevant passage first, then writes its answer from what it found and cites the source. It is not recalling something learned during model training, which is why the answers stay correct when your price list changes: you update the document, and the answer updates with it.

There is no single best one, and any answer that names a product before asking about your channel is guessing. It comes down to which channel your customers already message you on, whether the answers live in documents or in a live system, and whether a wrong answer would cost you a sale, a complaint, or a compliance problem. Predictable questions on a website widget point to a subscription platform, billed monthly on a tier you pick. Enquiries arriving on WhatsApp that need answers from your own price lists, stock, or SOPs point to a build, typically RM 8,000-15,000 for a standard scope.

The build is a fixed-scope sprint measured in weeks, and it moves at the speed of two things that sit outside the development work. The first is your content: if the documents the bot will answer from are current and in one place, the knowledge base comes together quickly, and if they are scattered across five drives with three versions of the price list, that is the delay. The second is WhatsApp business verification, which depends on Meta reviewing your paperwork, not on us, and is usually the longest single lead time in the project. We start verification at the beginning and scope the content audit before quoting, so the date we give you is one we can hold.

Website chat and WhatsApp Business cover most Malaysian SME demand, and one channel is what a standard sprint includes. We also deploy to Microsoft Teams or Slack for internal assistants. Running several at once is one of the things that moves a project to enterprise scope, because each channel has its own approval process, message formatting, and handover behaviour to get right.

Yes, and this is the point where a chatbot stops being a document reader. Those answers change hourly, so the bot has to query your ERP, order system, or database at the moment of asking instead of reading a file. That needs an API or database route into the system, permission rules for who is allowed to see what, and an agreed behaviour for when the system is down. It is enterprise scope for those reasons, starting from RM 15,000 and quoted after we have seen the systems involved.

Compliance is a property of how you run it, not of the software you buy. A chatbot handles names, phone numbers, order details, and whatever a customer volunteers in a message, all of which is personal data under the Personal Data Protection Act 2010. We build to the same rules as any system holding that data: collect only what the workflow needs, mask what does not need storing, agree a retention period before launch instead of accepting a vendor default, and keep access controlled and logged. Where the data cannot leave your infrastructure at all, the chatbot can run on a private or local model instead.

You do, and we build it so you can. The knowledge base is your own documents, so a price change or a new policy is a document update rather than a development ticket. What we hand over is the content audit that records which documents the bot is allowed to read, the analytics that show which questions it failed on, and the training to act on both. Ongoing support is available where a team would rather not own it, but the design assumption is that you can.