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The quality demands surrounding the manufacturing industry are increasing year by year, and the quality assurance and quality control departments are now required to make swift and reliable judgments more than ever before. On the other hand, many companies face challenges such as: - Past cases and procedure documents being dispersed, making it difficult to quickly access necessary knowledge - The perspectives and grounds for judgment relying on the experience of the responsible personnel - Inquiries being concentrated on experienced personnel - Conducting investigations from scratch for similar cases each time - Results and reasons for judgments not being utilized for future improvements In this seminar, we will introduce the "Quality Knowledge Utilization AI" service, which leverages accumulated quality knowledge within the organization, such as quality regulations, procedure documents, past defect cases, audit records, and reports, to enhance on-site judgment capabilities and establish a continuous system for quality improvement. This is not just a simple document search; AI will provide judgment materials and confirmation perspectives in line with quality business processes such as abnormal response, recurrence prevention, design quality enhancement, and audit response, supporting everything from reporting to sharing and improvement. This content is recommended for those considering the resolution of individual reliance in quality operations, standardization of quality judgments, and enhancement of knowledge utilization.