Agentic AI architecture

Agentic AI architecture is the foundational structural design framework that enables autonomous artificial intelligence systems to perceive, reason, plan, and execute actions independently while pursuing specific goals. This architecture comprises several interconnected layers including perception modules that process environmental inputs, cognitive reasoning engines that analyze data and make decisions, memory systems that maintain context and learning, planning components that break down complex tasks into executable steps, and action interfaces that interact with external systems and APIs. The architecture incorporates feedback mechanisms for continuous learning, safety guardrails for risk mitigation, and orchestration layers for coordinating multiple agents. Key design principles include modularity for scalability, interoperability for system integration, transparency for auditability, and robustness for reliable autonomous operation across diverse enterprise environments and use cases.