limitedDistribution · Industry Research
What Is Agentic AI?
Agentic AI autonomously plans, decides, and acts to achieve goals, handling complex tasks end-to-end with minimal human intervention.
Stargo's Stardox leverages agentic AI to autonomously transform unstructured supply chain data into actionable insights, enhancing operational efficiency.
Executive Summary
Agentic AI refers to intelligent platforms that can autonomously plan, decide and act to achieve goals with minimal human intervention. It handles complex tasks end-to-end, operating continuously to scale expertise and reduce human coordination. Unlike traditional AI, which focuses on pattern recognition, and generative AI, which creates content, agentic AI is goal-oriented, decomposing complex goals into sub-tasks and revising plans as conditions change. It operates with defined objectives, evaluating progress and choosing actions independently. Agentic AI systems orchestrate three layers: Large Language Models (LLMs) for reasoning and planning, machine learning algorithms for prediction and optimization, and autonomous agents for control and execution.
Source: Databricks
Published: 2026-01-21T21:15:00Z
Original Article: https://www.databricks.com/glossary/agentic-ai
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