WorkThe story, in brief

How agentic AI helps heal the systems we can’t replace

Legacy systems aren't going anywhere. Here's why AI agents are the bridge enterprises actually need.

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 companies face billions in sunk costs on legacy infrastructure, agentic AI offers a pragmatic path forward—not replacing outdated systems, but making them work together seamlessly while preserving institutional knowledge.

The key facts

5 to know
  1. AI agents can learn idiosyncrasies of accumulated legacy system layers

  2. Unified interface approach enables integration across disparate services

  3. Institutional knowledge preservation as key enterprise value proposition

  4. Focus on legacy system integration rather than replacement

  5. Published by Amazon Science, credible institutional source

Go to the source

Amazon Scienceamazon.science

Publisher excerpt: By learning the idiosyncrasies of accumulated layers of legacy systems, AI agents can preserve institutional knowledge and provide a unified interface to a range of services.
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