auto_awesomeAI Summary
“AI agents are fundamentally different from static rule-based systems—they learn, adapt, and optimize workflows in real time. Rather than retrofitting agents onto fragmented legacy processes, organizations must redesign their operations around agent-first architectures to unlock their full potential. This shift represents a critical change in how companies approach automation and process optimization.”
AI agents demand process redesign, not legacy system patches.
This summary was AI-generated. Neural Digest is not liable for the accuracy of source content. Read the original →
Read full article on MIT Technology Reviewopen_in_new