Artificial intelligence is moving from experimentation to operational deployment. The excitement around large language models (LLMs) introduced many organizations to what AI could do, sparking a wave of pilots and prototype agents.
But as enterprises push these systems into production, they're encountering a fundamental constraint: general-purpose models lack the real-time operational context that enterprise decisions require.
