Most enterprises are investing heavily in AI, but many still operate on infrastructure built long before real-time intelligence, AI agents, and event-driven systems became operational priorities.

That’s why simply adding AI tools into existing workflows is no longer enough.

Modern enterprises are now shifting toward AI-native architecture, microservices, and scalable systems capable of supporting intelligent automation at scale.

I’ve been researching how legacy infrastructure is becoming one of the biggest blockers to enterprise AI adoption, especially as businesses explore mobile app development with AI and intelligent operational systems.

Do you think enterprises can truly become AI-native without modernizing their core infrastructure first?