Beyond the ERP system: The autonomous value chain
As businesses continue looking for ways to improve efficiency, the next evolution of enterprise technology may go beyond traditional enterprise resource planning (ERP) systems and toward fully autonomous value chains. In a recent article on CIO, aerospace and defense executive Jason Brady explains how organizations can use AI (artificial intelligence), connected data, and intelligent automation to move from human-driven processes to self-orchestrating business operations. For decades, ERP systems have helped organizations connect finance, supply chain, manufacturing, and operations. However, many companies still rely on employees to bridge gaps between systems through spreadsheets, manual approvals, and constant data reconciliation. The article argues that simply improving existing processes may not be enough because these human touchpoints create limits on speed, scalability, and decision-making.
The next step is an autonomous value chain—a model where AI agents and connected systems can analyze information, make decisions within defined boundaries, and coordinate activities across departments. For example, instead of a planner manually checking inventory, contacting suppliers, and adjusting schedules, AI-driven workflows could automatically identify shortages, reserve resources, and update delivery timelines in real time. The article highlights several foundations needed to make this possible, including a reliable digital thread, standardized data, composable processes, and strong governance. Organizations must also rethink change management by helping employees transition from performing repetitive coordination tasks to overseeing and improving automated systems. Moreover, the future of ERP is not just about upgrading software—it is about redesigning how businesses operate. Companies that build connected, AI-enabled ecosystems will be better positioned to move beyond manual workflows and create faster, more adaptive value chains.
