From Pilots to Real Impact

Quality assurance has always been about trust, but in an AI-native world, it’s about evolution. Traditional testing models can’t keep up with today’s development velocity, creating friction between innovation and reliability.

This talk reveals how Globant CODA is leading the shift from manual and automated testing toward Agentic QA, where intelligent Agents plan, execute, and analyze tests alongside humans. Learn how this new approach strengthens quality, boosts efficiency, and closes the gap between code and confidence.

Attendees will gain practical insights into how Agentic QA redefines software testing, empowering teams to deliver faster, smarter, and more resilient digital products.

Adopting AI at enterprise scale is both a major opportunity and a significant challenge.

Uncertainty, disconnected initiatives, duplicated efforts, limited scalability, and the absence of a clear roadmap are among the most common obstacles.

Where should we begin? How do we get to a successful strategy? This talk presents the key strategies that proved essential in our journey building Globant Coda - our agentic solution for the software development lifecycle - and how these same principles can help any organization achieve its enterprise-level AI transformation.

Agents are only as powerful as the context they can access. In this session, we’ll explore how Globant Enterprise AI enables builders to create RAG-enabled agents that leverage a new Knowledge Management layer as a dynamic memory system. You’ll see how agents can connect to multiple information sources — from documents and GitHub repositories to databases — to deliver accurate, business-aware responses. You’ll leave with a clear understanding of how to design agents that combine retrieval with reasoning, ensuring they operate with the right context to solve real enterprise challenges and deliver real business value.