𝗤𝘂𝗮𝗹𝗶𝘁𝘆 𝗶𝘀𝘀𝘂𝗲𝘀 𝗿𝗮𝗿𝗲𝗹𝘆 𝘀𝘁𝗮𝘆 𝘄𝗶𝘁𝗵𝗶𝗻 𝗼𝗻𝗲 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄. 𝗔 𝗰𝗼𝗻𝗰𝗲𝗿𝗻 𝗰𝗮𝗻 𝗹𝗲𝗮𝗱 𝘁𝗼 𝗮𝗻 𝗶𝗻𝘃𝗲𝘀𝘁𝗶𝗴𝗮𝘁𝗶𝗼𝗻, 𝗰𝗼𝗿𝗿𝗲𝗰𝘁𝗶𝘃𝗲 𝗮𝗰𝘁𝗶𝗼𝗻𝘀, 𝗻𝗲𝘄 𝗱𝗼𝗰𝘂𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻, 𝗮𝗻𝗱 𝗳𝘂𝗿𝘁𝗵𝗲𝗿 𝗳𝗼𝗹𝗹𝗼𝘄-𝘂𝗽.
At the Europe IMPACT Conference, Nathalie Ruelle, Global Quality and Sustainability Director at H.B. Fuller, and Laura Fiume, Associate VP, Strategic Solutions & Growth at Benchmark Gensuite, explored how connected workflows and practical AI can support stronger quality programmes.
The discussion covered how teams can improve:
• Quality concern reporting and investigation
• Corrective actions and follow-up
• Document control and access
• Trend and programme visibility
• AI-assisted logging, summaries, and writing support
Connecting these areas can give quality teams a clearer view of what happened, what changed, and what still requires attention across the programme.
Practical AI can support this work by reducing manual input and improving the quality and consistency of information captured, while human expertise remains central to investigation, root cause analysis, decision-making, and continuous improvement.
Read the full blog: https://hubs.la/Q04sn1100
QualityManagement QualityAssurance DigitalTransformation ArtificialIntelligence
