A specialist AI chatbot for organisations and for particular lines of business, designed to answer from the organisation's own knowledge rather than with generic replies. It is used for anything from restaurant work and training programmes to academic advice, answering customer questions and supporting decisions. It connects to LINE OA, Web Chat and internal company systems.
Who it is for
Organisations with specialist knowledge of their own that have to answer the same set of questions every day, whether from customers, course attendees or internal teams.
Training Assistant
For teams running courses, the bot gives out the course information in one place (the course name, the dates and times, and the instructor), attaching the supporting documents and the registration link directly in the conversation. From there it takes over the questions prospective attendees ask most often, such as who the course is for, or what certification it leads to.
- Gives the course name, dates and times, and instructor
- Attaches documents and the registration link in the conversation
- Answers questions about the course automatically
A LINE chatbot that answers more than the basics
Users simply type their questions in natural language, from factual ones such as what A5 Kordge wagyu beef is, through to analytical ones such as what approaches there are to analysing an organisation's weaknesses.
Behind it, an LLM (GPT) interprets the question and replies in professional language, citing the relevant content or context from the organisation's internal information, so the answers stay anchored to what the organisation has actually written.
- Takes conversational questions through LINE OA
- Answers with reference to the organisation's internal information
- Handles both factual and analytical questions
Web Chat connected to an analytics dashboard
The chatbot can be connected to an analytics dashboard, so users can ask for an analysis in a single sentence (asking it to analyse the shopping basket over the latest promotion, for instance) and get the summary back in the conversation straight away. Sentiment analysis works the same way. This is the point at which the chatbot stops being a channel for answering questions and becomes the team's way of talking to their data (data-driven conversation).
- Request an analysis in natural language, without opening the report yourself
- Market basket analysis
- Sentiment analysis of text
The capabilities behind every version
Whichever form you choose, the same core capabilities are always at work underneath: Semantic Searching, which searches on the meaning of the question rather than only on matching words; Integration, for connecting to internal company systems; Multi-Channel, so that a single bot handles several channels; and Analytics, for extending into data analysis.
- Semantic Searching
- Integration
- Multi-Channel
- Analytics
What it does
- Knowledge base tuned to your organisation's specialist work
- Connects LINE OA, Web Chat and internal systems
- Search by meaning with Semantic Search
- Answers cite content from your internal information
- Course details with documents and registration link
- Basket and sentiment analysis requested in plain language
- One bot handling several channels
Want something like this?
Tell us your situation and we will work out what needs adapting to fit it.