Agentic AI refers to advanced systems that autonomously manage tasks, adapt to new situations, and achieve predefined goals without human intervention. These systems are built to go beyond reactive behavior, offering proactive and adaptable solutions that mimic human-like decision-making.

Key characteristics of Agentic AI include:

• Autonomy: Makes decisions and executes tasks independently.
• Proactiveness: Anticipates needs and identifies opportunities before action is requested.
• Adaptability: Learns and evolves by analyzing data, improving its performance.
• Purpose-driven: Focuses on specific outcomes, such as improving efficiency or optimizing customer interactions.

Agentic AI often integrates technologies like natural language understanding, advanced machine learning, and self-improving algorithms to achieve these capabilities. It plays a transformative role in industries like logistics, where it optimizes supply chains, or finance, where it identifies fraud in real-time.