WorkThe story, in brief
Enabling agent-first process redesign
Your AI strategy is already 6 months behind. Companies bolting agents onto legacy systems are wasting millions.
The KeyNews take
Why it matters
As AI agents mature from pilots to production, the competitive advantage goes to companies redesigning core processes around agent-first architecture—not those retrofitting agents into fragmented legacy workflows.
The key facts
4 to knowAI agents can execute entire workflows autonomously in real time
Static rules-based systems cannot match agent learning and adaptation capabilities
Process redesign around agents required—not bolt-on optimization
Traditional legacy workflow integration is a failed approach for agent deployment
Go to the source
MIT Technology Review AItechnologyreview.com
Publisher excerpt: Unlike static, rules-based systems, AI agents can learn, adapt, and optimize processes dynamically. As they interact with data, systems, people, and other agents in real time, AI agents can execute entire workflows autonomously. But unlocking their potential requires redesigning processes around…