Sarcouncil Journal of Multidisciplinary

Abstract: In recent years, we have witnessed a transformative revolution in artificial intelligence with the rise of AI agents—autonomous entities that perceive surroundings, make independent decisions, and execute actions to fulfill specific goals. This article delves into the core foundations of these agentic systems, examining architectural frameworks and real-world applications across diverse fields. The blueprint of agentic architecture enables seamless functionality while preserving adaptability, combining essential elements like sensory processing modules, knowledge storage systems, planning mechanisms, decision-making structures, action implementation components, adaptive learning capabilities, and communication standards. It extends to multi-agent ecosystems and coordination strategies—including hierarchical, market-driven, consensus-oriented, and emergent approaches—each bringing unique benefits to particular use cases. The practical deployment of agent technology manifests through agentic workflows characterized by task division, flexible resource distribution, disruption management, progress tracking, and human-machine interfaces. Despite remarkable progress, significant hurdles remain in areas such as system expansion, result interpretation, operational stability, and long-range planning, alongside ethical questions about alignment with human values, accountability assignment, operational visibility, and intervention protocols.