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MIT Technology Review: Enabling Agent-First Process Redesign — Enterprise AI Agents That Learn, Adapt, and Optimize Dynamically
MIT Technology Review published an analysis of agent-first process redesign in enterprises, arguing that AI agents fundamentally differ from static rules-based systems by learning, adapting, and optimizing processes dynamically. The piece covers how agents interact with data, systems, people, and other agents in real time, executing complex workflows that previously required human coordination. This frames the shift from 'AI-augmented' to 'agent-first' as a process architecture decision, not just a technology upgrade.
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