When you work alone or run a company with a small team, you have to repeatedly answer enquiries about delivery, stock, prices, exchanges and refunds. Clevi Lens is an enterprise AI chatbot that connects the documents and websites your company uses as searchable knowledge, finds content relevant to customer questions and provides answers.
"Aren’t all chatbots more or less the same?"
General AI can explain a wide range of topics naturally, but it does not inherently know your company’s latest prices and stock levels or its internal refund policies. Clevi Lens understands the intent of each question based on the materials connected by your company, searches for relevant content and provides an answer.
- It understands the intent of each question based on the materials connected by your company.
- It searches relevant materials and provides an answer.
- You can also check the documents and pages referenced in the answer.
- It can be configured not to force an answer when there is insufficient evidence.
Clevi Lens knowledge learning process
| Stage | Process | Customer support example |
|---|---|---|
| 1. Connect materials | Upload or connect the documents and websites you currently use. | Price lists, product manuals, FAQs, refund policies |
| 2. Analyse content | Identify the titles, body text, tables, images and key items in the documents. | Distinguishing product names, prices, stock levels and warranty periods |
| 3. Organise knowledge | Connect content scattered across multiple files into searchable knowledge. | Searching the price list and product catalogue together |
| 4. Understand question intent | Analyse what information is needed even when the customer’s wording differs from the documents. | “I’ve opened the packaging — can I return it?” → Search the refund policy |
| 5. Evidence-based answers | Answer based on relevant materials and display the documents and pages referenced. | Presenting whether a refund is possible and the relevant policy |
| 6. Update knowledge | Update the materials and metadata when prices or policies change. | Reflecting the updated delivery policy in the latest answers |
AI organises scattered internal materials by category.
Company materials are scattered across departmental folders, personal PCs and shared document repositories, so even when a file exists, it is often difficult to find again. Clevi Lens does not just look at file names; it understands the content of documents and automatically classifies related materials together.
- Finds and groups similar documents.
- Organises labels and metadata.
- Manages information so that what you need can be searched more quickly.
- After implementation, you can review and edit documents and classification information directly.
- You can reflect the latest materials when prices or policies change.
The role of the chatbot also changes depending on which materials you connect.
Clevi Lens is not a chatbot fixed to a single role. Its response scope and role change depending on which materials are connected.
| Connected materials | AI role | Examples of use |
|---|---|---|
| Menus, price lists and opening hours | Customer information AI | Provides information on prices, opening hours and how to use the service |
| Product catalogues and specification sheets | Sales support AI | Handles enquiries about product specifications, compatibility and delivery times |
| FAQs, delivery, exchanges and refunds policies | Customer service AI | Automatically responds to repetitive customer enquiries |
| Work manuals and internal company regulations | Internal work assistant AI | Searches work procedures and internal standards |
| Training materials and lecture content | Learning support AI | Provides guidance on courses and learning content |
If you need a customer service chatbot, connect product information and FAQs. If you need a sales support AI, connect product materials and transaction policies. You can configure the AI’s role by selecting materials suited to the work you need it to perform.
Answers customers in foreign languages based on Korean materials
You do not need to create language-specific manuals and FAQs for customers who speak other languages. Based on product materials and operating policies written in Korean, the AI can understand questions in foreign languages and respond in the language used by the customer.
If your company has its own materials, you can start a dedicated AI
There is no need to create hundreds of new questions and answers to build a customer service chatbot. Using only the price lists, product manuals, FAQs, operating policies and website you already use, you can deploy a chatbot tailored to your company.