Agentic AI (agentic artificial intelligence / AI agent) refers to a form of artificial intelligence capable of acting autonomously, pursuing goals, and making decisions within defined parameters. Unlike purely reactive systems, agentic AI exhibits proactive behavior and can carry out complex tasks independently.
Key characteristics:
- Goal-oriented behavior: An AI agent works toward predefined or self-determined objectives.
- Autonomy: Tasks are executed without constant human supervision.
- Planning and decision-making: Agentic AI can structure multi-step processes and adapt flexibly to new information.
- Learning capability: The system evolves through feedback or new data, adjusting its strategies as needed.
Application areas:
- Automation of editorial and content workflows
- Personalized customer interaction in e-commerce
- Self-directed systems in data analysis or digital marketing
- Intelligent assistants in digital platforms
Benefits:
- Reduces manual workload for repetitive or data-heavy tasks
- Increases efficiency through continuous, independent operation
- Adapts dynamically to changing requirements
Objective: The development of AI systems that act as autonomous agents – capable not only of executing tasks, but also of contributing actively and responsibly to process outcomes.