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GenAI uses data to generate new content, predictions, and insights, everything from text and code to simulations and visualizations. Within an ERP context, this means creating reports, analysing trends, or even predicting system failures. For a broader look at how AI is transforming industries, especially finance industry, check out our article on AI in Financial Services.
ERP teams must start exploring GenAI for innovation and automation, but it requires a clear understanding of what outcomes are expected to derive business value from novel combinations of content and data.
Figure 1: Definitions from AI to ChatGPT
Current Industry Practices and Maturity
Major ERP vendors are already piloting GenAI use cases within their cloud-based solutions. Here are a few examples:
Organizations with on-premises ERP might need roadmap to minimize risks like high computing costs, implement proper internal controls, AI governance and ethical usages.
Ensure Alignment with Your ERP Strategy
Given majority usage to legacy and on-premises ERP, leaders must take a pragmatic approach, it is imperative to:
GenAI holds strong potential in future of ERP, but successful adoption requires alignment with your ERP strategy and the overall enterprise objectives.
How Crowe Can Help
At Crowe, we've supported global organizations propels their business transformation by adopting GenAI to power their SAP ERP capabilities. Starting from Zero-Cost Readiness Check, high-impact use cases identification to solution integration, we help our clients spurring the innovation and unlocking business potential of AI and modern ERP.