AI in Manufacturing Quality: Hype or Real Value? | Arconic

How can AI help manufacturing quality teams manage complex customer requirements and turn internal audits into a powerful management tool? Dr. Péter Bereczki, Quality Management Director at Arconic-Köfém, shares why Arconic chose QualityAI, its early experience with AI-supported requirements review and auditing, and its vision for using audit insights to guide strategic decisions. Presentation by Dr. Péter Bereczki of Arconic at QFD Group's 15th Annual Gathering of Regional Automotive Decision Makers. LANGUAGE NOTE: This English version was dubbed from the original Hungarian presentation with the help of AI. CHAPTERS / HIGHLIGHTS ------------------------------------------- 00:00 Péter’s introduction: from research to quality leadership 00:57 AI in everyday life and quality management 03:20 Arconic: company, products, and customers 08:09 Complex customer requirements and a lean quality team 10:00 Beyond Excel: moving toward AI-supported quality management 11:25 Customer requirements and internal audit planning 14:14 Turning audit findings into actionable management feedback 15:43 Internal auditing as “The most powerful management tool” 17:02 Why Arconic chose QualityAI: IT approval and professional support 17:55 QualityAI in practice: reviewing and summarizing customer requirements 19:40 AI recommendations for process and product audits 20:09 Mobile audit evidence, evaluation, and IATF references 21:19 Business risks: documentation, customer complaints, and additional costs 22:36 Using AI and audit insights to inform strategic decisions 24:28 Introduction to Arconic's 80th-anniversary film