customer satisfaction

Enterprise resource planning (ERP) systems are often viewed as a necessary burden that usually delivers less value than originally anticipated. Enterprise resource planning systems are supposed to provide organizations with the information they need for central control, regulatory compliance, and business processes that are supported by information flowing through the system. Big Data and AI models present an opportunity to redefine how ERP is implemented and maintained. It has the potential to move the ERP space from being mundane to being a significant driver of future business performance. AI, by automating human performance, can also automate system ownership and improve customer satisfaction. In this way, it is a force multiplier that changes the economics of the ERP ecosystem. The data being fed into the model and the results of that model present new challenges for ensuring that all of this can be done at the proper level of security. This is a central challenge for ensuring the long-term security of both the ERP implementation and the enterprise itself. This paper will examine the protocols that must be observed to retain security and maximize this potential transformation associated with the AI-driven future of ERP solutions. Both the opportunities and the potential pitfalls will be discussed in the hopes that this will enable a secure and efficient path to that future, minimizing the number of disruptions that a company will have to encounter on that path.