How to determine whether an AI chatbot will be adopted or discarded

Have you ever seen a 200 million won chatbot being discarded? Between 70% and 85% of AI projects fail to achieve their expected results. In manufacturing, this number hits even harder. A chatbot that looked perfect in a vendor demo starts confidently giving wrong answers once actual field documents are fed into it. Skilled workers with 30 years of experience turn away, saying, "That thing is useless." Systems built with hundreds of millions of won are quietly abandoned. For over 16 years, I have personally planned and executed MES, Smart Factory, and Manufacturing DX/AX projects at Samsung Electronics, Samsung Display, Hyundai Mobis, and LS ELECTRIC. Now, I am designing and building AI chatbots specifically for manufacturing sites. Through this process, I have constantly pondered, "Why do so many manufacturing chatbots fail?" and I have reached the conclusion that the answer lies not in the technology, but in the planning. This course does not teach code. This is not a course for developers who build chatbots. It is for those who must plan the introduction of a chatbot, evaluate vendors, verify performance, and ultimately decide whether to adopt the system. It is designed for planners, managers, and team leaders in the manufacturing field. Without coding, in just 50 minutes, you will be able to: 1. Understand core AI chatbot technologies (RAG, Knowledge Graph) through simple analogies. 2. Immediately use 5 practical questions to distinguish a vendor's true capabilities. 3. Design a 30-day Proof of Concept (POC) using a single-page checklist. 4. Establish strategies to integrate chatbots without resistance from field workers. Why is this course necessary? - While the AI adoption rate in the Korean manufacturing industry remains at 24%, 81% of companies plan to expand their AI investment. This means that while adoption is low, the will to implement it is high. The problem is a lack of planners who know how to execute. - There are courses on Inflearn regarding RAG and chatbots, but they are all aimed at developers. This is the first AI chatbot planning course specifically for non-developers in the manufacturing industry. 50 minutes can prevent a 200 million won mistake.