The enterprise resource planning (ERP) landscape is entering a period of significant change, driven by artificial intelligence (AI), automation, and the growing demand for business agility. In a recent article from Solutions Review by writer, editor and analyst William Jepma, it argues that future ERP systems will be far more intelligent, connected, and adaptable than the platforms organizations have relied on for decades. A key theme of the article is the shift away from traditional ERP systems that primarily served as systems of record. The next generation of ERP is expected to function as a system of intelligence, using AI and automation to provide recommendations, streamline workflows, and support real-time decision-making across the enterprise. Jepma also highlights the move toward more modular and composable architectures. Rather than relying on large, monolithic platforms, organizations are increasingly adopting flexible ecosystems that allow them to integrate specialized applications and services while maintaining a connected data foundation. This approach helps businesses respond more quickly to changing market conditions and evolving customer expectations. Another major takeaway is the growing importance of data quality and governance. As AI becomes more deeply embedded in ERP processes, organizations will need accurate, trusted data to generate reliable insights and automate decisions effectively. Without strong data foundations, even the most advanced technologies may fail to deliver meaningful business value. Jepma also suggests that ERP implementations will become more focused on continuous evolution rather than large-scale, once-a-decade transformation projects. Businesses will increasingly adopt incremental improvements, cloud-based innovation, and AI-driven capabilities as part of an ongoing modernization strategy. Moreover, the future of ERP is not simply about managing transactions. It is about creating intelligent, adaptable platforms that help organizations make faster decisions, automate complex processes, and respond to change with greater speed and confidence.

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Artificial Intelligence (AI) is helping organizations accelerate enterprise resource planning (ERP) transformation, but speed alone doesn’t guarantee success. In an article from Diginomica, authors Kerry Brown and Patrick Thompson argue that while AI can automate many aspects of ERP modernization, it cannot replace a deep understanding of how a business actually operates. The article explains that AI-powered migration tools can streamline tasks such as data mapping, validation, and system analysis, reducing the time and effort required for ERP projects. However, these tools often lack the operational context needed to understand how processes, teams, and systems work together across the organization. As a result, businesses risk carrying inefficient processes and technical debt into their new ERP environment. A key theme is the importance of an operational context layer—a framework that connects data, workflows, systems, and business objectives. According to the authors, this context helps organizations make smarter transformation decisions rather than simply automating existing processes. The article also highlights the growing role of AI agents in ERP modernization. These agents can assist with identifying inefficiencies, supporting process redesign, and monitoring migration progress. However, their effectiveness depends on access to accurate business context and governance. Brown and Thompson conclude that successful ERP transformation requires more than AI-driven automation. Organizations that combine AI capabilities with a clear understanding of their business processes are more likely to reduce complexity, avoid migrating legacy problems, and achieve meaningful long-term value from their ERP investments.

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Payments are often blamed for operational inefficiencies, but the real issue may lie deeper within an organization’s enterprise resource planning (ERP) strategy. A recent article from ERP Today  argues that many businesses focus on optimizing payment processes while overlooking the broader ERP and operational challenges that create friction in the first place. The article explains that payment bottlenecks are frequently symptoms of disconnected processes, fragmented data, and poorly aligned workflows rather than shortcomings in payment technology itself. When ERP systems lack visibility across finance, procurement, inventory, and operations, organizations often experience delays, reconciliation challenges, and inefficiencies that surface during the payment process. A key theme is the need to view payments as part of a larger business workflow rather than a standalone function. The article suggests that organizations achieve greater value when they focus on improving end-to-end processes, ensuring data flows seamlessly between systems, and creating stronger alignment between operational and financial activities. The piece also highlights the growing importance of real-time visibility and decision-making. Modern ERP environments should provide organizations with timely insights into cash flow, supplier relationships, purchasing activity, and financial performance. Without that visibility, even the most advanced payment solutions may fail to address underlying business challenges. Ultimately, businesses should shift their focus from isolated payment optimization to broader ERP strategy and process orchestration. Organizations that improve data quality, streamline workflows, and align technology with business objectives are more likely to achieve operational efficiency, stronger financial control, and better long-term outcomes.

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You can use the user monitoring administrative dashboard to turn monitoring on and off.

From the security administration dashboard, select Configuration and then under the User Monitoring group, select Configure Monitoring.

You will be on the User Monitoring – Configure Monitoring page.

1. Enable or disable monitoring by clicking the Enable Monitoring checkbox. When this checkbox is checked, monitoring is enabled. When it is unchecked monitoring is disabled.
   
2. Click Submit.
3. Perform a full system stop and restart sequence to make the changes take effect.
   • Stop your application server.
   • Run the Infor stoplaw command
   • Run the startlaw command
   • Start your application server.