Picture this: your AI assistant goes live on Monday. By Wednesday, it's hallucinating product prices, citing made-up policies, and your support tickets are climbing. No unit test failed. Your pipeline was green. The liar was already inside.
AI applications break differently from traditional software — and most teams are still testing them like it's 2016. In this session, we close that gap using Microsoft Foundry's evaluation toolkit. You'll watch a complete quality pipeline get built live: an evaluation dataset constructed from real failure modes, automated scoring across groundedness, coherence, and safety metrics, and a CI/CD gate wired to block any deployment that doesn't meet the bar. The demo runs against a RAG-based assistant — the kind of app most of us are actually shipping.
By the end, you'll know how to make your AI pipeline tell the truth — or at least get caught when it doesn't.