AI agents are evolving from experimental tools into essential components of operational infrastructure, shifting knowledge work from manual "sculpting" to "gardening"—creating conditions for growth rather than building every component by hand. Natalia Quintero, Head of Consulting at Every, demonstrates how internal agents like "Claudie" manage CRM pipelines and email triage, while emphasizing the necessity of integrating professional software like Atio for robust data management. Beyond business, these agents facilitate complex personal tasks, such as organizing family healthcare and generating personalized learning guides. Success in this agentic era requires standardizing workflows into clear, repeatable logic that AI can execute, while maintaining human oversight for high-level strategy and relationship management. By treating AI as a scalable system rather than a one-off task generator, operators can significantly increase their output and focus on high-value human interactions.
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