AI is making it easier to generate reports, build dashboards, and ask questions about business performance using natural language.

But there’s an old problem that AI hasn’t solved.

Sales, finance, and operations can still have different definitions of the same metric. Two perfectly functioning dashboards might show different revenue figures because they’re using different business rules.

AI can make these inconsistencies harder to notice by presenting answers confidently.

For those working with Power BI, Tableau, or AI-powered analytics, how are you keeping business metrics consistent? Is a shared semantic layer becoming essential?