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title: "Discussion on \"Self-Adaptive Enterprise Automation Using Generative AI Agents\" | Hashnode"
description: "Discussion on \"Self-Adaptive Enterprise Automation Using Generative AI Agents\". Abstract\nSelf-adaptive enterprise automation using Generative Artificial Intelligence (GenAI) agents represents an emerging approach to improving organizational efficiency, operational intelligence, a"
url: "https://hashnode.com/posts/self-adaptive-enterprise-automation-using-generative-ai-agents/6aeebb448d3392882e32ff49"
---

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# [Self-Adaptive Enterprise Automation Using Generative AI Agents](https://sivahemanthkolla.hashnode.dev/self-adaptive-enterprise-automation-using-generative-ai-agents?utm_source=hashnode&utm_medium=feed)

Abstract Self-adaptive enterprise automation using Generative Artificial Intelligence (GenAI) agents represents an emerging approach to improving organizational efficiency, operational intelligence, a

Nov 7 · 6 min read · sivahemanthkolla.hashnode.dev  
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## Written by

[Siva Hemanth Kolla](https://hashnode.com/@sivahemanthkolla)

@sivahemanthkolla

  
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## Responses 1

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[Steven Mock](https://hashnode.com/@stevenmock)

[Nov 7](https://hashnode.com/posts/self-adaptive-enterprise-automation-using-generative-ai-agents/6aeebb448d3392882e32ff49/comment/6aeec95cdc68ccee77d3ea3e)

The part that matters most here is the human-approval gate for financial or sensitive decisions. Self-correction sounds good in theory, but in a real operation an agent quietly fixing its own mistake is exactly how a small error becomes a costly one. The honest metric in your evaluation list is how often a person still has to intervene — if that number is not falling, the system is not really learning. Start with one narrow workflow, not a full platform, and let the feedback loop prove itself there first.