This article describes how Jabil, Siemens Mendix, and AWS built an AI-powered diagnostic tool for manufacturing defect analysis in four weeks.

• Jabil technicians spent 30% of time searching fragmented technical documentation across systems
• Solution consolidates knowledge using Amazon Bedrock, S3, and Mendix platform integration
• Technicians scan product serial numbers to receive AI-guided troubleshooting in seconds
• System creates continuous improvement loop feeding technician insights back into knowledge base
• Achieved 25% faster defect analysis, 15% reduction in scrap and rework
• Improved support diagnostics speed by 20%, boosted decision-making by 10%
• Four-week implementation compressed typical multi-month development cycle
• Roadmap includes historical defect intelligence and predictive quality analytics phases

Jabil transformed manufacturing diagnostics by embedding generative AI into workflows, delivering quantifiable operational improvements and competitive advantage through faster, more accurate defect resolution.