07/13/2026
Most organizations using AI for analytics are getting different answers to the same questions.
The problem isn't the AI—it's that context gets lost between sessions. When your metric definitions live in wikis or Confluence instead of machine-readable systems, your AI assistant has no way to know what "revenue" actually means to your business.
The fix is moving definitions into a governed metric catalog or semantic layer where every tool—dashboards, AI assistants, reports—pulls from the same source of truth.
That's how you build trustworthy data at scale.
https://www.powermetrics.app/blog/ai-analytics-context-metric-governance