Can you accept an ERP clerk that occasionally makes mistakes?

Reddit r/AI_Agents Tools
erp mcp local-llm accuracy hallucination enterprise-ai

Summary

作者用本地 LLM + MCP 工具构建了一个 ERP 问答系统，并加入基于 Claude 的验证拦截器，使准确率达到 99% 以上；他讨论人们是否能容忍 AI 偶尔出错，并思考为何人类对 AI 错误的容忍度低于人工。

I'm building an ERP "ask-me-anything" system driven by a local LLM. The idea is simple: I just type questions into a chat window like: "How many open orders do we still have?" "What's our current stock for part XYZ?" "Which level-2 slow-moving parts do we have right now?" Under the hood, it's a set of ERP tools exposed via MCP, plus a validation interceptor (built with Claude) that checks and corrects certain hallucinations and missed behaviors. Even with all that, first-pass accuracy is only around 95%. If I let the local LLM double-check its own answers, it goes above 99% — but still not 100%. Interestingly, even when I switch to frontier models (Claude, GPT), first-pass accuracy improves, but I still can't hit 100%. So I'd love to hear your thoughts: can you live with an ERP "look-up clerk" that's ~99% accurate but occasionally wrong? Honestly, if you handed these complex look-ups to a human, the error rate probably wouldn't be much lower. But for some reason, people seem less forgiving of AI mistakes. Thoughts?
Original Article

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