⚡ KEY INSIGHT
AI agents demand fundamental business process redesign, not incremental optimization of existing workflows.
Traditional enterprise systems rely on static rules and manual handoffs, but AI agents operate differently—they learn from real-time interactions across data, systems, and people to autonomously execute complex workflows. The key insight from MIT Technology Review is that bolting agents onto legacy infrastructure wastes their potential; organizations must architect processes around agent capabilities from the ground up. This shift represents a fundamental change in how companies approach digital transformation, moving from process automation to adaptive, self-optimizing systems.