From Vibe Coding to Production: Scaling AI for Work That Matters

For IT leadership, the focus on AI has shifted from exploring capabilities to delivering durable outcomes. AI is transforming how quickly organizations can build and modernize systems, but relying on code generation alone introduces risks. Scaling successfully requires structured, repeatable methodologies. In this session, we present a practical framework for evaluating AI coding approaches, managing technical risk, and driving predictable solution delivery.

What we’ll cover:

• The AI tool landscape. Understand the different types of AI coding tools and the unique business needs that they solve, including high-code harnesses, managed environments, and SaaS platforms.
• The development spectrum. Know what types of projects fit vibe coding, Spec-driven development (SDD), or a mix of both.
• Practical application. How to use these methodologies to consolidate legacy applications, accelerate solution delivery, and automate processes end to end.

Who should tune in:

Business, technology, and operations leaders evaluating how to use AI coding tools in their workflows and operationalize them for enterprise scale.

• IT, AI, automation, and digital transformation leaders prioritizing which AI coding tool use cases to pursue
• Line-of-business and operations leaders looking to accelerate project delivery and streamline workflows without introducing long-term technical debt.
• Centers of Excellence, process owners, and governance teams tasked with defining standard operating procedures and maintaining architectural consistency across the enterprise.