Agentic AI definition

Agentic AI definition describes artificial intelligence systems characterized by autonomous decision-making capabilities, goal-oriented behavior, and the ability to execute complex tasks independently without requiring step-by-step human guidance. These systems are defined by four core characteristics: autonomy in planning and execution, tool usage for interacting with external systems, persistent memory for maintaining context across interactions, and adaptive reasoning for handling unexpected situations. Agentic AI agents can decompose complex objectives into actionable sub-tasks, select appropriate tools and resources, monitor their own performance, and adjust strategies based on feedback and changing conditions. Unlike traditional AI models that generate responses to prompts, agentic AI systems maintain ongoing awareness of their environment, track progress toward goals, and can initiate actions proactively. The definition encompasses both single-agent systems that operate independently and multi-agent architectures where multiple AI agents collaborate and coordinate their activities. Technical implementations typically involve large language models enhanced with planning capabilities, tool-calling mechanisms, memory systems, and integration frameworks that enable interaction with databases, APIs, and business applications.