Automate repetitive work with AI, tested on your own data first

VAON builds chatbots that answer from your documents, reads and enters data from business documents, and automates manual steps. Before you pay, we measure on your real data, and we only recommend going ahead when the expected benefit outweighs the cost.

Your data is not used to train AI models.

Book a free call

Not sure what to automate yet? Start with the Spec Lock Phase, not with AI.

What AI can do for you

  • Repeated questions

    Customers and staff ask the same things every day. A chatbot answers from your documents and shows the source.

  • Reading and entering documents

    Invoices, forms and photos are read, classified and entered into your system.

  • Manual steps between systems

    Copying data from one system to another, checking it, sending notices.

AI products VAON has built

Running in production

ONEBOT: AI customer support chatbot

ONEBOT: AI customer support chatbot

  • Answers from your documents: PDF, Excel, Word and your website
  • Every answer shows its source so you can check it
  • Combines scripted buttons with AI-generated answers
  • LINE Official Account and website chat
  • Data stored in Japan, your data is not used to train AI models, live in 2 to 4 weeks

Fewer repeated support questions for your team

See ONEBOT
JobEcho: an AI tool that publishes job listings to Google for Jobs

Built for GMJ

JobEcho: an AI tool that publishes job listings to Google for Jobs

  • Generates structured data for job listings automatically
  • Creates job pages without code

GMJ offers the service in Japan.

See JobEcho

How it works: 4 steps

Here is how a chatbot answers from your documents.

  1. You provide your data

    PDFs, web pages, Excel files, internal documents: whatever sources you have.

  2. Find the right passage

    For each question, the system searches your documents for the relevant parts. Your data is not used to train the model.

  3. Answer with sources

    The answer is based on what was found and shows its source.

  4. Improve with people in the loop

    Wrong answers are logged; our team fixes the source documents or search setup and measures again.

Case study

A real AI Automation project

Context

A web-services company in Japan was processing a large volume of business documents manually every day, costing significant staff hours on repetitive classification and data entry.

What VAON did

Built an AI pipeline that automatically reads, classifies, and extracts data from business documents, integrated directly into the client's existing workflow. Not a full system replacement, just the most time-consuming repetitive part.

Takeaway

AI Automation works best when it targets one specific, measurable repetitive task, rather than trying to automate an entire process at once.

Results

Reduction in manual effort
20–35%
Accuracy
85–92%

Measured within the scope agreed with the client, not the whole system.

Test first, then decide

  • Measure on real data

    For chatbots, we propose testing on about 50 to 100 real questions with answers prepared by your staff: accuracy, response time and estimated running cost.

  • Only when it pays off

    If the expected benefit does not exceed the cost, we tell you plainly and suggest another way, even one without AI.

This test on your real data is free.

How your data is handled

  • Before we start: NDA, and agreement on which data is used and who can see it.
  • Your data is not used to train AI models.
  • Role-based access at the search step: users only get answers from documents they are allowed to see.
  • ONEBOT: data stored in Japan, TLS 1.3 in transit, kept 30 days after termination, then deleted or anonymised.
  • Data can't leave your network? We can build a RAG system that runs inside it, as a separate project.

When AI is not the right fit yet

  • Your source documents are missing, outdated or contradictory: a chatbot is only as good as what it reads. Fix the documents first.
  • The process itself is unclear: that is a specification problem, not an AI one.
  • Work that must be 100% right with no human check: AI can still be wrong, so a human review step is needed.
  • We don't do: training large language models from scratch.

AI Cost Model

A transparent cost model

Ready-made product (SaaS)

ONEBOT

Cost
Monthly fee by plan
Setup
2 to 4 weeks
Data
Stored in Japan, not used for training
See ONEBOT

Custom AI (project)

Chatbots, document reading, process automation

4 steps:

  1. Test on your real data: free
  2. Development: fixed price for the agreed scope
  3. Monthly running cost: infrastructure and AI model usage
  4. Improvement: optional, monthly

The estimated running cost is part of the test results.

Book a free call

Every project gets its own quote after the first call.

Not sure what to automate?

If you are not yet sure which process is worth automating first, that is a specification problem, not an AI one. The Spec Lock Phase helps you pin down the right problem before investing in any technology.

About the Spec Lock Phase

FAQ

Yes, it can. AI can still answer wrongly, even when it only uses your documents. VAON reduces errors in three ways: answers show their source so they can be checked, accuracy is measured on real questions before rollout, and important work always has a person reviewing it.

We sign an NDA and agree on the scope of data before we start. Your data is not used to train AI models, and access is role-based. ONEBOT stores data in Japan. If your data cannot leave your network, we can build a system that runs inside it.

It depends on the number of questions or documents each month. We give you an estimate after testing on your real data, before you decide to roll out.

ONEBOT: 2 to 4 weeks. Custom AI projects: depends on scope, set after the test or the Spec Lock Phase.

Not necessarily. You need someone who knows the business to prepare documents, a set of sample questions with answers, and to review the results. VAON handles the technical side: setup, integration and operation. If we connect to internal systems, someone on your side grants access.

Usually yes, through an API or a data connection. The exact method, and whether your current system allows it, is checked during the test or Spec Lock Phase before we quote. ONEBOT already supports LINE and web chat.

Have another question? Email us: sales@ai.vaon.com.vn

Ready to see AI work on your own data?

The first 60-minute call includes our CEO, needs no documents and comes with no commitment. We'll tell you plainly what AI can and can't do for you.