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Enabling agent-first process redesign

MIT Technology Review1d ago
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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.

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