From Pilots to Real Impact

Most AI pilots never move beyond experimentation. In this session, we’ll show how we transformed a real client workflow into a scalable agentic solution using Globant Enterprise AI and GeneXus Next — cutting execution time by up to 50 times while meeting enterprise-level security, observability, and scalability requirements. 
We’ll show you how to identify high-value opportunities, design agentic workflows, validate results with end-users, and scale them securely with governance, observability, and low-code delivery. 
You’ll leave with a practical framework to bring agentic AI from idea to production — turning opportunity mapping into enterprise deployment.

Most organizations still run on legacy systems — old technologies that are difficult to maintain but too valuable to discard, as they hold decades of business knowledge.
In this session, we will reveal how combining Generative AI (through Globant Enterprise AI) and Symbolic AI (through GeneXus Next) enables companies to modernize once and for all.
You’ll discover how this dual approach captures the formalized knowledge behind legacy systems and transforms it into a living, evolving architecture — turning code maintenance into continuous knowledge evolution.
You’ll leave with a clear understanding of how to bring “eternal youth” to your code and future-proof your systems, ensuring that what you build today never becomes tomorrow’s legacy.

AI coding agents are advancing quickly, but turning them into reliable, production-ready systems remains one of the hardest challenges in modern engineering. In this session, we’ll share the ongoing journey of building Globant CODA, our AI coding agent, and the architectural decisions and engineering principles that have shaped its evolution.

You’ll see how iterative learning led us through two major refactorings, why we prioritize code quality over short-term speed, and how dogfooding Globant CODA became a core development practice that exposes issues early and accelerates improvement. We’ll also explore how an AI-first team culture emerged naturally, with AI assisting across the entire development lifecycle, from triage and design to debugging and code review.

You’ll leave with a clear, practical view of what it truly takes to build advanced AI developer tools in a rapidly evolving landscape, and insights you can apply to your own agentic engineering efforts.