---
title: "Discussion on \"Never Call an LLM From Your ERP: AI Middleware Architecture\" | Hashnode"
description: "Discussion on \"Never Call an LLM From Your ERP: AI Middleware Architecture\". Your ERP just called an LLM synchronously. The model took 31 seconds. The ERP gave up at 30. Now 1,200 orders are stuck between \"paid\" and \"shipped\", and nobody knows which ones the AI already process"
url: "https://hashnode.com/posts/never-call-an-llm-from-your-erp-ai-middleware-architecture/6aeb7f002ce1d41176784ef8"
---

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# [Never Call an LLM From Your ERP: AI Middleware Architecture](https://nodeneuralai.hashnode.dev/never-call-an-llm-from-your-erp-ai-middleware-architecture?utm_source=hashnode&utm_medium=feed)

Your ERP just called an LLM synchronously. The model took 31 seconds. The ERP gave up at 30. Now 1,200 orders are stuck between "paid" and "shipped", and nobody knows which ones the AI already process

Nov 4 · 4 min read · nodeneuralai.hashnode.dev  
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[Node & Neural](https://hashnode.com/@nodeneuralai)

@nodeneuralai

  
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Enterprise AI architecture, explained with working code.

Enterprise AI architecture, explained with working code. Each article takes one problem teams hit when they put LLMs into real systems (ERP integrations, RAG, semantic caching, LLM routing) and shows a design that holds up in production. Videos on YouTube (@NodeNeuralAI), code on GitHub.

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