When you run a business on your own or with a small team, you have to repeatedly answer enquiries about delivery, inventory, pricing, exchanges and refunds. Clevi Lens is an enterprise AI chatbot that connects the documents and websites your company uses as searchable knowledge, finds information relevant to customer questions and provides answers.
"Aren’t all chatbots more or less the same?"
General AI can explain a wide range of information naturally, but it does not inherently know your company’s latest prices and inventory or its internal refund policies. Clevi Lens understands the intent of a question based on the materials connected by your company, searches for relevant information and provides an answer.
- It understands the intent of a 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 provide an answer recklessly when there is insufficient supporting evidence.
Clevi Lens knowledge learning process
| Step | 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, inventory and warranty periods |
| 3. Organise knowledge | Connect information 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 package. Can I return it?” → Search 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 changed delivery policy in the latest answers |
AI organises scattered internal materials by category.
Company materials are scattered across department folders, individual 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 the required details can be searched more quickly.
- After deployment, you can directly review and edit documents and classification information.
- You can reflect the latest materials when prices or policies change.
The chatbot’s role also varies depending on which materials you connect.
Clevi Lens is not a chatbot fixed to a single role. Its response scope and role vary depending on which materials are connected.
| Connected materials | AI role | Examples of use |
|---|---|---|
| Menus, price lists, and operating hours | Customer information AI | Provides information on prices, operating hours, and how to use the service |
| Product catalogues and spec sheets | Sales support AI | Responds to enquiries about product specifications, compatibility, and delivery schedules |
| FAQs, delivery, exchanges, and refund policies | Customer support AI | Automatically responds to recurring customer enquiries |
| Work manuals and internal company policies | Internal work assistant AI | Searches for work procedures and internal standards |
| Training materials and lecture content | Learning support AI | Provides guidance on training courses and learning content |
If you need a customer support 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 required tasks.
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. The AI can understand questions in foreign languages based on product materials and operating policies written in Korean, and respond in the language used by the customer.
If your company has its own materials, you can start a dedicated AI
You do not need to write hundreds of new questions and answers to create a customer support 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.