Agentic AI refers to autonomous AI systems designed to make decisions and achieve specific goals without constant human oversight. Unlike traditional AI, which primarily processes data and provides recommendations, Agentic AI can perform tasks, make independent choices, and adapt to dynamic environments in real-time.

Agentic AI can enhance automation, optimize workflows, improve decision-making, and provide personalized customer experiences. It can handle complex tasks, adapt to changing environments, and potentially reduce operational costs while increasing efficiency.

Agentic AI has applications across various industries, including customer service, healthcare, finance, retail, manufacturing, logistics, and more. It can enhance processes such as drug discovery, personalized customer support, and complex decision-making tasks.

A Responsible AI Framework is a structured approach to designing, developing, deploying, and managing artificial intelligence (AI) systems in ways that are ethical, transparent, and aligned with societal and organizational values. It aims to ensure that AI technologies prioritize fairness, accountability, privacy, security, inclusiveness, and sustainability while minimizing risks such as bias, harm, or misuse.