AI can scale your best evaluator's judgment — but only if the governance architecture beneath it is built to hold up. This session presents a practitioner-built framework for designing AI-powered performance assessment that earns stakeholder trust at scale, drawn from production systems used in high-stakes professional certification. You'll walk away with the rubric architecture, variance analysis methods, and governance principles that separate defensible AI assessment from the kind that gets questioned in an executive review.