The Most Dangerous "AI" in Business Intelligence is the One That Sounds Right

AI assistants in Business Intelligence don’t usually fail by being obviously wrong - They fail by sounding right while quietly breaking governance rules. In this story, two AI assistants were evaluated under the same enterprise BI semantic model, logic and metric definitions. One optimized for conversational fluency. The other was semantically anchored to governed analytics logic. The results revealed a dangerous pattern: Fluent AI responses often bypass fiscal calendars, aggregation constraints and required comparisons, creating silent analytical drift. The takeaway is simple but uncomfortable - In enterprise BI, consistency and constraint matter more than conversational polish. Trustworthy AI doesn’t come from better prompts; it comes from anchoring AI reasoning to governed semantic definitions.