In this video, we break down why AI systems fail when they operate without understanding the live state of your workflows, and why that’s the hidden reason behind so many “technically correct, but operationally wrong” outputs. When AI doesn’t have access to this context, it’s forced to reason in a vacuum. In this video, we explore: -Why AI output quality collapses without state awareness -The difference between linguistic accuracy vs operational correctness -How AI outside the platform loses critical context like workflow stage and relationships -Why this isn’t “hallucination”—it’s context loss -How state-aware systems produce signal instead of noise We also show how Now Assist generates responses against live records, within active workflows, and under real system constraints—making outputs not just correct, but actually usable in production environments. Because enterprise AI isn’t about better prompts—it’s about better context.