From Pilots to Real Impact

GeneXus Next is the first native agentic low-code platform designed to build mission-critical enterprise solutions powered by Glob.AI OS. It combines symbolic AI with generative AI, enabling companies to model, generate, and evolve complex systems with precision, long-term maintainability, and full governance.

In this session, we’ll explore how GeneXus Next delivers deterministic code generation, multi-platform deployment, and built-in enterprise-grade capabilities such as security, scalability, automated UI, APIs, and embedded AI agents.

You’ll leave with a clear view of how to build AI-powered applications without vendor lock-in, avoid the PoC trap, and develop end-to-end enterprise solutions faster while maintaining full control over your digital assets.

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.
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 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.

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 Glob.AI OS, 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.