Valid SQL Isn't Enough: Why AI Agents Need Business Context

AI database agents can produce syntactically correct SQL while delivering incorrect business answers—a critical oversight as organizations increasingly rely on them for analytics. The solution lies not in refined prompts but in embedding business metric definitions directly into infrastructure, ensuring metrics like revenue and MRR are formally defined before agents calculate them. This transforms analytics from fragile prompt engineering into reliable, auditable intelligence that business leaders can actually trust.