From Pilots to Real Impact

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.

The true power of AI emerges when multiple agents collaborate to solve complex tasks. In this session, we’ll explore how teams can use Glob.AI OS to design, configure, and orchestrate agentic processes that go beyond the capabilities of a single agent. Through a practical case, you’ll learn how to connect agents, define workflows, and execute them to deliver measurable business outcomes. We’ll also show how these processes can be automated and scaled, giving teams a practical framework to transform ideas into production-ready solutions.

Managing AI at scale requires more than deploying models — it demands visibility, governance, and cost control. In this session, we’ll explore how Glob.AI OS enables organizations to monitor LLM usage in real time, set consumption limits across projects or teams, and keep costs predictable. By the end of this session, you’ll have a clear understanding of how transparent dashboards and quota management provide the foundation for sustainable AI adoption across the enterprise.