INTELLIGENT BUSINESS PROCESS AUTOMATION IN ENSURING THE ECONOMIC RESILIENCE OF DEFENSE INDUSTRY ENTERPRISES

Abstract

This article examines intelligent business process automation as a means of increasing the economic resilience of defense industry enterprises. Unlike approaches focused primarily on reducing labor costs, resilience is assessed through a process's ability to prevent disruptions, maintain critical output, recover from failures, and adapt to changing conditions. A process-oriented model is proposed that links the criticality of operations, observability, interdependence, automation potential, and the risk of erroneous decisions. A system of metrics for deviation prediction, continuity, recovery, and adaptation, as well as a metric for avoided economic losses, is developed. The study was conducted using a change management scenario for design and technological documentation (DTD). It is demonstrated that intelligent automation increases resilience not through extreme autonomy, but through a combination of forecasting, digital twins, hybrid rules, and managed escalation.