Why 95% of Enterprise AI Projects Stall: The Infrastructure Problem

Join Rangle, the engineering consultancy trusted by organizations like Nike, Hims & Hers, UNIQLO, Sanofi, Roche, Google, Staples, and The North Face, for a practical discussion on why so many enterprise AI initiatives struggle to move beyond pilot projects.

While most organizations focus on models and applications, the biggest obstacles often exist beneath the surface. Governance, orchestration, security, data architecture, infrastructure, and platform ownership ultimately determine whether AI becomes a sustainable business capability, or another disconnected experiment.

And there is a tool over 10 years old that has been solving these problems in the most demanding application environments: Kubernetes.

In this webinar we use Kilter, the agentic developer+infrastructure platform based on Kubernetes, to describe, build and deploy a secure, safe and scalable business-critical application in less than 45 minutes. Not only that, we will prove that it can be safely deployed into any bank's core infrastructure with full support for typical internal GRC processes.

What you'll learn#

• Why enterprise AI initiatives stall after the pilot phase
• The infrastructure decisions that shape long-term success
• The architectural foundations of enterprise AI
• How sovereign infrastructure supports scalable AI adoption