Artificial Intelligence-Enabled Self-Healing Systems for Resilient Enterprise Operations

Abstract

Artificial Intelligence-enabled self-healing systems provide innovative solutions for enhancing enterprise operational resilience through autonomous monitoring, intelligent prediction, and automated recovery. This research explores how AI capabilities support proactive failure management, reduce operational disruptions, and improve system reliability. A secondary analysis approach examines existing technologies, implementation challenges, and resilience strategies to develop a conceptual framework. The findings highlight that AI-driven self-healing mechanisms enable adaptive, efficient, and sustainable enterprise operations by transforming traditional reactive approaches into intelligent and autonomous management practices.