Sarcouncil Journal of Multidisciplinary

Abstract: The convergence of Information Technology and Operational Technology within manufacturing environments has created unprecedented opportunities for intelligent automation through agentic artificial intelligence systems. Traditional operational technology management practices, characterized by reactive maintenance strategies and siloed system operations, fail to leverage the vast amounts of data generated by modern industrial infrastructures. Agentic AI introduces autonomous decision-making capabilities that transform manufacturing operations through real-time monitoring, predictive analytics, and intelligent service orchestration platforms. The integration of ITIL-inspired service management principles with operational technology requirements enables systematic performance optimization while maintaining deterministic behavior essential for industrial control systems. Implementation challenges encompass cybersecurity considerations, system integration complexities, and workforce adaptation requirements that must be addressed through comprehensive security architectures and structured change management processes. The deployment of intelligent agents across manufacturing environments demonstrates substantial operational improvements, including enhanced uptime, reduced maintenance costs, improved safety performance, and optimized resource allocation. Future developments toward fully autonomous manufacturing ecosystems will establish new paradigms for industrial operations through distributed intelligence networks, dynamic production reconfiguration capabilities, and predictive supply chain optimization systems that collectively transform reactive manufacturing environments into proactive, self-managing production facilities.