Workday built a world-class system where humans spoke the same language through 1,000 glossary terms and 6 million cataloged assets. Then AI changed everything: traditional BI workflows rely on human intuition to interpret questions, but AI struggles with the structured data humans find easy, requiring a reimagined semantic layer that teaches machines the meaning behind the data.
Key takeaways:
AI excels at unstructured data but struggles with structured databases that humans navigate easily
Human-readable governance isn't enough — AI needs machine-readable semantic layers to understand business logic
Without crystal-clear context, AI hallucinates answers instead of asking for clarification
The future of governance is teaching AI to say "I don't know" and guide users toward better prompts
Tools like Atlan's MCP server turn shared business language into context AI can actually use
