Why it matters
Everyone has tried a chatbot. Few have put AI to work.
A general AI tool knows nothing about your business. It cannot read your policies, your contracts or your product data, and when it does not know, it guesses. That is why so many AI experiments impress in a demonstration and never reach daily use.
LiTME builds AI on your own knowledge, using retrieval-augmented generation (RAG), so answers come from your documents and can be traced back to them. We have delivered RAG assistants and automated workflows many times over, and we bring the security and governance that keep your data yours.
The value of AI is in the work it takes off your people. That is what we build for.
What we take on
From a first use case to daily use. One accountable partner.
Start with one assistant or one workflow, prove the value, and extend from there.
AI assistants and chatbots
Assistants for your staff or your customers that answer from your own knowledge, in plain language.
- Internal knowledge assistants
- Customer service and enquiry chatbots
- Answers that cite their sources
Retrieval-augmented generation (RAG)
The engineering that grounds AI in your documents, so it answers from fact and not from guesswork.
- Your documents prepared for AI
- Search tuned for accuracy
- Answer quality measured and improved
Workflow and process automation
Routine work carried from one system to the next without re-typing, chasing or waiting.
- Document handling and data entry
- Approvals, notifications and hand-offs
- AI steps inside your existing processes
Integration, security and governance
AI connected to your systems on your terms, with control over who and what can see your data.
- Connections to your business systems
- Access that follows your permissions
- Use aligned with PDPA and your own policies
How we take it on
Proven on one use case, then scaled.
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We find the right use case
We look for the work where AI will save real time or give better answers, and agree how the result will be measured.
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We build on your knowledge
We prepare your documents, build the assistant or workflow, and test it with the people who will use it.
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We put it into daily use
We train your people and hand it over, or keep running and improving it for you, as you prefer.
What you gain
AI your people actually use.
What changes when AI is built on your own knowledge and into your own processes.
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Answers you can trust
Responses come from your documents and point back to them, so they can be checked.
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Hours handed back
Routine questions and repetitive steps are handled without taking your people’s time.
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Your data stays yours
Access, privacy and security are designed in from the first day.
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A foundation to build on
The first use case prepares your data and systems for the next.
Questions
AI & automation, answered.
What is RAG, in plain words?
Retrieval-augmented generation. Before the AI answers, it looks up the relevant passages in your own documents and answers from those. The result is an assistant that knows your business and can show where each answer came from.
Where should we start?
With one use case that matters: a body of documents people keep asking about, or a process with too many manual steps. A focused first project shows the value and prepares the ground for the next.
What happens to our data?
We design each solution so that your data stays under your control, and we agree with you where it is processed and stored before anything is built.
Which AI models and platforms do you use?
We choose the model and platform to suit the use case, your security requirements and your budget, and we explain the trade-offs so the decision is yours.
Can it connect to the systems we already use?
Yes. Assistants and workflows are most useful inside your existing systems, and integration is part of what we build.
How is it priced?
Per project. We scope the use case with you first and quote for it, so you know the cost before work begins.
Get in touch
Let's talk.
Tell us about your project or your IT challenges, and we will come back with a clear next step.