Enterprise AI projects are often framed as model-selection exercises. Teams compare reasoning quality, context windows, latency and price, then assume implementation begins once a provider has been chosen. In practice, a capable model is usually the easiest component to replace. The difficult work begins when an AI system must operate inside the enterprise: use live […]
For two decades, the center of enterprise architecture was comparatively stable. ERP systems managed resources and transactions. CRM systems organized customer relationships. Integration platforms moved data between applications. Data warehouses consolidated analytics, while API gateways exposed internal services through consistent contracts. Those systems remain essential. But another shared layer is forming beside them: enterprise AI […]
