Most AI projects stall because leaders can’t confidently answer whether a model is safe and reliable enough to ship. The longer that question goes unresolved, the wider the technology gap grows in your organization as the frontier of AI progresses. 

In this masterclass, we’ll introduce a practical Evaluation-Driven Development framework, informed by our work deploying AI at large-scale enterprises like Mayo Clinic, Pfizer, and T-Mobile. You’ll learn how to define clear quality standards, measure performance in a structured way, and reduce risk before launch.

You’ll leave with a straightforward approach to building custom rubrics, aligning stakeholders, and moving from experimentation to production with confidence.