How Agentic AI Is Moving Enterprise AI from Productivity to Autonomous Work
By
Liza Kosh
The kind of bagel that ruins lesser bagels for you.
Summary
The article discusses the evolution of enterprise AI from basic generative AI tools (drafting emails, summarizing reports) to agentic AI systems that can autonomously understand goals, plan steps, use enterprise tools, take actions, learn from outcomes, and escalate to humans when needed. It positions agentic AI as a shift from "answering questions" to "getting work done," moving beyond productivity enhancements toward true business transformation.
Key quotes
· 3 pulledUnlike a chatbot that waits for prompts, agentic AI can understand a goal, plan the steps, use enterprise tools, take actions, learn from outcomes, and escalate when human judgment is needed.
It moves AI from 'answering questions' to 'getting work done.'
For the last two years, enterprise AI has mostly lived in the productivity lane.
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