Why Connecting AI to Real Systems Is Still Hard

Connecting AI models to real enterprise systems like databases, payment gateways, and CRMs requires extensive custom integration work, creating an 'integration tax' that compounds with each new AI application and system. This N×M problem means every new connection multiplies engineering effort — often hundreds of hours — before any user-facing feature ships, and maintenance burden grows whenever vendor APIs change.