From Pilots to Real Impact

Developing AI solutions across multiple LLMs often means dealing with fragmented APIs, SDKs, and complex integrations. Glob.AI OS changes that by introducing a unified API that abstracts complexity and lets you define agents once — then connect them to any LLM you choose. In this session, we’ll showcase how the Python SDK and REST API enable teams to build, integrate, and scale agentic processes seamlessly into business applications. You’ll leave with actionable know-how to leverage Glob.AI OS’s unified API for faster, simpler, and future-proof AI adoption.

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.

AI workspaces are emerging as the new control panels for enterprise intelligence — environments where organizations can run, manage, and measure AI solutions at scale. In this session, we’ll explore how these workspaces are transforming isolated pilots into connected, governed, and traceable systems of intelligence. You’ll see how market leaders are shaping this trend through human-centered, infrastructure-driven, and governance-focused approaches — and how Globant combines all three within Glob.AI OS’s Workspace.

We’ll show how the Workspace enables teams to execute agents, orchestrate workflows, and track performance in one environment — and how it connects with The Lab and The Console to create a continuous loop of innovation: build, publish, run, and measure.

You’ll leave with a clear understanding of how to leverage Glob.AI OS's Workspace to move from experimentation to execution — making AI operational, measurable, and sustainable across your organization.