Dynamic AI agents execute entire workflows autonomously by interacting with data and people in real time. Traditional legacy systems hinder this potential, requiring a fundamental process redesign rather than simple integration. MIT Technology Review argues that practitioners must build workflows around agent capabilities to avoid fragmentation. This shift moves beyond static, rules-based automation.