AI assistant for Taiwan SMEs / NTUT engineering team
Turn SOPs, FAQs, policies, product manuals, and internal rules into an AI assistant searchable through LINE or a website. Answers can include document sources, with cloud, local, or private-cloud deployment assessed by data sensitivity.
20-30 pages
Start with official documents
2-3 weeks
Focused Starter PoC
Cloud / local
Deploy by data sensitivity
9-Second LINE AI Demo
Turn your FAQs, PDFs, SOPs, and website content into a LINE AI assistant that answers repeated customer questions automatically.
Discuss your AI assistantLINE Chatbot Demos
Use existing demos and business inquiry flows to evaluate whether a small PoC makes sense for your organization.
A public-document demo showing how admissions, rules, and service files can become a LINE-searchable knowledge assistant.
Demo account for capability proof; official rules still require official confirmation.
Try demoAsk about service scope, document readiness, LINE integration, PoC planning, and cloud or local deployment assessment.
Use this account for LINE101Chat service inquiries.
Ask on LINEA passcode-gated LINE and web demo for retrieving authorized recipe PDFs from a local recipe index.
Demo account for authorized recipe retrieval; file access still depends on passcode scope.
View caseAudience
LINE101Chat is especially useful for Taiwan organizations with many documents, forms, FAQs, or frequent LINE-based communication.
Admissions FAQs, program rules, forms, deadlines, and international student support.
Customer service scripts, product FAQs, service flows, and LINE auto-reply triage.
SOP lookup, forms, operating notes, and internal knowledge for daily work.
Travel, arrival, transportation, local service, and visitor FAQ scenarios.
New-hire training, benefits, leave rules, IT FAQs, and admin support.
Implementation Pain Points
Not every organization needs a large AI platform. Often, organizing documents, defining data boundaries, and making answers searchable in LINE is enough to relieve team pressure right away.
Admin, support, and frontline teams answer the same questions every day, fragmenting their time.
FAQs, SOPs, forms, and policies live in different folders, making answers expensive to find.
Processes and experience are hard to transfer quickly, so new teammates keep asking senior staff.
Customers and users already prefer LINE, but human teams cannot respond 24/7.
Contracts, SOPs, customer information, and internal knowledge need clear access boundaries.
Critical know-how is not organized into a searchable system and can disappear when people move roles.
Core Service
This is not a toy chatbot. It organizes official documents, FAQs, SOPs, and internal rules into a searchable, traceable, maintainable AI Q&A system.
Turn PDFs, Word files, web pages, FAQs, and SOPs into a searchable knowledge base.
Learn moreLet employees, students, or customers ask common questions directly inside LINE.
Learn moreAttach sources where possible so teams can trace, correct, and update documents.
Learn moreChoose a fast cloud PoC, local deployment, or private cloud based on data sensitivity.
Learn moreData Confidentiality
LINE101Chat is not about dropping all data into a public model. We define data scope, deployment model, and update workflows so company knowledge becomes searchable, traceable, and maintainable.
Identify which documents can enter the PoC, which data must be masked, and which scenarios need local or private-cloud deployment.
Users ask questions in familiar LINE conversations while document indexes, permissions, and logs are managed in an environment chosen for the organization.
Answers cite document sources so managers can trace, correct, and update the knowledge base instead of trusting a black box.
Use cloud for faster validation, or evaluate local servers, private cloud, permission controls, and audit logs for sensitive material.
Technical Process
It is not just uploading documents to AI. We organize documents, retrieval, answer generation, access control, and maintenance into a practical workflow.
The goal is not to let AI answer freely, but to let it answer within approved documents and access boundaries.
Documents / FAQ / SOP
Data preparation
AI knowledge base
LINE question
Source-grounded answer
Continuous maintenance
We review FAQs, PDFs, SOPs, forms, web pages, or internal knowledge and decide what the assistant can answer and what should stay with humans.
Documents are split into searchable sections and indexed so the system can find relevant content quickly.
Users ask in familiar LINE chats. The backend searches the knowledge base and prepares an answer based on the question.
Answers are grounded in prepared documents and keep source clues so teams can trace, correct, and update content.
Cloud, local, or private deployment can be planned by data sensitivity, with passcodes, roles, or document scopes where needed.
Real questions are used to test answer quality, add missing documents, correct answers, and keep the knowledge base useful.
Start with the FAQ, PDF, or SOP your team searches most often, then expand after answer quality and real use cases are clear.
Taiwan Market Trust
AI adoption needs more than a good demo. It must fit Taiwan companies' expectations for budget, maintenance, data security, and traceable answers.
The engineering team comes from NTUT (National Taipei University of Technology), with a practical understanding of Taiwan organizations' expectations for stable, maintainable systems.
Start with a focused 2-3 week PoC, then move into a 4-6 week production rollout so SMEs do not take on too much implementation risk at the beginning.
Choose cloud hosting, local servers, or private cloud based on document sensitivity, budget, IT operations capacity, and expected usage.
Rollout Process
Use a small AI assistant PoC to validate document quality, LINE search experience, and business value, then decide whether cloud, local, or private deployment fits the data sensitivity.
Discovery interview
Document inventory
Data cleanup
Build AI knowledge base
Connect LINE / web entry
Test and refine
Launch and maintain
Measurable Benefits
Results depend on document quality and question volume. We test with real questions instead of relying only on demo impressions.
Reduce repeated Q&A and document search time
Let teammates search company knowledge inside LINE
Improve response speed
Reduce onboarding questions about rules and workflows
Preserve organizational knowledge
Help admin and support teams spend less time searching
Ground common answers in the same document source
Let users first check authorized information outside office hours
Validate quickly in the cloud, then assess local deployment for sensitive data
Trust and Maintenance
The value of an enterprise AI assistant is not just conversation. It must answer accurately, cite sources, protect data boundaries, and be maintained by the team over time.
Show users which document the answer came from, making review and correction easier.
An NTUT engineering team suited to Taiwan SMEs that need local trust and practical implementation.
Sensitive documents can be assessed for local servers, private cloud, and permission controls to reduce leakage risk.
Evaluate results through question volume, response speed, human handling time, and usage records.
Start with needs assessment and PoC, then expand scenarios and documents gradually.
Next step
Start with 20-30 pages of official documents. We will assess document quality, use cases, LINE or web entry points, and whether a PoC is worthwhile.
