๐ค๐๐ฎ๐น๐ถ๐๐ ๐ถ๐๐๐๐ฒ๐ ๐ฟ๐ฎ๐ฟ๐ฒ๐น๐ ๐๐๐ฎ๐ ๐๐ถ๐๐ต๐ถ๐ป ๐ผ๐ป๐ฒ ๐๐ผ๐ฟ๐ธ๐ณ๐น๐ผ๐. ๐ ๐ฐ๐ผ๐ป๐ฐ๐ฒ๐ฟ๐ป ๐ฐ๐ฎ๐ป ๐น๐ฒ๐ฎ๐ฑ ๐๐ผ ๐ฎ๐ป ๐ถ๐ป๐๐ฒ๐๐๐ถ๐ด๐ฎ๐๐ถ๐ผ๐ป, ๐ฐ๐ผ๐ฟ๐ฟ๐ฒ๐ฐ๐๐ถ๐๐ฒ ๐ฎ๐ฐ๐๐ถ๐ผ๐ป๐, ๐ป๐ฒ๐ ๐ฑ๐ผ๐ฐ๐๐บ๐ฒ๐ป๐๐ฎ๐๐ถ๐ผ๐ป, ๐ฎ๐ป๐ฑ ๐ณ๐๐ฟ๐๐ต๐ฒ๐ฟ ๐ณ๐ผ๐น๐น๐ผ๐-๐๐ฝ.
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:
โข Quality concern reporting and investigation
โข Corrective actions and follow-up
โข Document control and access
โข Trend and programme visibility
โข 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
