Modern software systems increasingly incorporate artificial intelligence and hyper-automation, which can amplify both innovation and risk. The Quality Tree Framework is a pragmatic model that maps essential quality domains – including functionality, performance, security, usability, maintainability, ethics and trust – into a structured tree and provides a roadmap for continuous improvement. In this session, I will explain how I co-developed the framework and used it to guide organisations in building responsible AI and resilient software systems. I will share lessons learned from implementing AI-powered scenario generation, self-healing automation and governance at bank and industrial clients. Attendees will learn how to adapt the Quality Tree to their own projects, integrate it into CI/CD pipelines, align it with DevOps and SRE practices, and ensure that AI-driven solutions meet regulatory and ethical requirements. This talk will be particularly valuable for developers, QA professionals, architects and leaders who want to create software that not only works, but earns users’ trust.