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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.

Reporting by MIT Technology Review AI 1 min brief
Illustration of independent geometric mechanisms passing paper tasks along branching amber tracks.
AI agents and the coordination of work.AI illustration by KeyNews
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 know

  1. AI agents can execute entire workflows autonomously in real time

  2. Static rules-based systems cannot match agent learning and adaptation capabilities

  3. Process redesign around agents required—not bolt-on optimization

  4. 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…
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