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Generative AI in ERP Systems: Why Most AI Strategies Die Before Production?
Why is generative AI in ERP systems still stuck in pilot mode while companies talk about transformation, yet real production impact remains so rare? Every enterprise says it is embracing generative AI, yet most ERP systems still depend on manual work. The promise is huge, but the results are thin. If AI is truly transforming business, why are so few ERP projects delivering real value? Every executive has an AI roadmap. Every boardroom is talking about digital transformation. But when it comes to generative AI in ERP systems, there is a clear gap between ambition and execution. AI pilots are everywhere, yet very few make it into day-to-day business operations. If generative AI is changing everything, why are most ERP projects still stuck in pilot mode? The reason is simple. Too many companies begin with a broad AI vision instead of solving one costly business problem. The organizations seeing real results focus on a single process where manual work creates delays, compliance risks, audit issues, or unnecessary costs. Document processing is a perfect example. Traditional OCR and RPA can capture data, but they often fail when invoices, purchase orders, or sales documents arrive i...
