Agentic AI, also known as autonomous AI agents, refers to systems that are capable of planning, executing, and autonomously adapting to complex tasks without continuous human intervention. These systems use advanced algorithms and models to define goals, develop strategies, and perform actions in the real world to achieve those goals. Agentic AI is used in a variety of fields, from automating complex business processes to personalized customer service and autonomous robotics.
The main target group for Agentic AI are companies and organizations that want to increase their efficiency, accelerate innovation processes and develop new business models. The main benefit lies in automating complex tasks, improving decision-making, and creating new opportunities through autonomous problem solving.
To be included in the Agentic AI category, a solution should have the following features:
- Goal Definition: Ability for users to define clear and measurable goals for the agent.
- Autonomous Planning: Ability of the agent to independently develop plans to achieve the defined goals.
- Environmental Interaction: Ability to interact with the real or digital environment, collect data and perform actions.
- Self-Directed Learning: Ability of the agent to learn from experience and continuously improve its strategies and models.
- Adaptability: Ability to adapt to changing conditions and new challenges without manual reconfiguration.