Agentic AI is quickly moving from experimentation into real enterprise delivery. But for large organisations, the challenge is no longer simply understanding what AI agents can do. It is working out how to use them safely, at scale, and in ways that create measurable business value. This session explores how enterprise organisations are beginning to adopt agentic AI in practical, operational settings. Drawing on real-world case studies, Paul de Abreu, UK & Ireland Solution Architecture Lead at OutSystems, will show how emerging agentic capabilities are changing the way software is designed, built and operated. The discussion will look at how technologies such as Mentor AI and Agent Workbench are helping organisations move beyond static workflows and traditional application development models. From AI-assisted software delivery and intelligent process orchestration to autonomous task execution and legacy system modernisation, the session will demonstrate how agentic platforms are starting to accelerate delivery and reshape enterprise operations. Rather than focusing on theory or hype, Paul will focus on what agentic AI looks like in practice inside complex business environments. What is already working? Where are the biggest implementation challenges? And how can organisations avoid creating fragmented, unmanaged or risky AI activity across the business? The session will also address one of the most important questions facing enterprise leaders today: how do you operationalise agentic AI at scale without creating security risks, governance gaps or “agent anarchy”? Attendees can expect a practical, commercially focused session that cuts through the noise around AI and shows what enterprise-grade agentic delivery looks like today, as well as where the technology is heading next. This session is particularly relevant for technology leaders, architects, delivery teams and innovators looking to understand how AI agents and agentic platforms are likely to reshape enterprise software development over the coming years.