
The promise of generative AI to revolutionize DevOps has captured the industry’s imagination, yet a significant gap has emerged between widespread enthusiasm and tangible, enterprise-wide implementation. While a vast majority of organizations are now actively experimenting with Gen AI within their quality engineering practices, a surprisingly small fraction have managed to scale these initiatives beyond isolated pilot projects. This disparity










