From Pilots to Real Impact

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.

As AI reshapes the way we work, the real challenge isn’t technology: it’s mindset. Many organizations struggle to move from awareness to adoption, missing the opportunity to unlock AI’s full potential through their people.

In this session, we’ll share how Globant’s experience with Globant Enterprise AI and Globant CODA has guided the creation of structured learning paths that accelerate adoption and empower every Glober to collaborate with AI Agents confidently.

You’ll discover strategies to foster a culture of continuous learning and experimentation, and leave with a framework to help your teams embrace AI not as a tool, but as a trusted partner for growth and innovation.

When facing AI adoption, many organizations fall into AI paralysis — trapped between endless tools, models, and vendors, and uncertain about where to start or how to scale. The risk is clear: investing time and money without ever reaching production or meaningful business value.
In this session, we’ll reveal the golden path that leading enterprises are following to overcome paralysis and design resilient AI ecosystems that stay independent, governed, cost-efficient, and capable of innovating at speed. Through real cases powered by Globant Enterprise AI, you’ll see how organizations are evolving from isolated initiatives to a unified, agent-driven enterprise model, where human-machine collaboration becomes a real operating advantage.

You’ll leave with a practical framework to scale AI safely and strategically — driving innovation without losing control.