Agentic AI Two-Pager

Agentic AI represents a transformative shift from traditional AI models by enabling systems to carry out complex tasks over time and adapt based on context and memory. Unlike single-turn prompt-response models, agentic systems form persistent feedback loops to perceive, decide, act, and self-correct toward user-defined goals, behaving more like collaborators. CNA has developed several agentic AI applications, including a Data Analysis Agent, Podcast Creator Agent, NOTAMs Agent, Synthetic Survey Data Agentic Crew, and Wargaming Advisor Agent. These agents enhance productivity, accessibility, and decision-making in various domains, while robust risk mitigation strategies ensure their safe and effective deployment.