AI is moving beyond isolated experiments and productivity gains towards enterprise-wide business transformation. In this session, Dana Kuznecovaitė and Rūta Juškevičiūtė will explore how a large organization can scale AI adoption sustainably through clear accountability, reusable platforms, robust governance, and a hub-and-spoke operating model that balances central enablement with business ownership.

They will share their journey from personal productivity adoption to industrialized AI and agentic engineering, highlighting the role of reference architecture, trusted platforms, and responsible AI practices. They will also discuss why successful AI transformation is as much about people, mindset, and emotional intelligence as it is about technology, and how these elements help turn AI experimentation into measurable business value.