limitedDistribution · Industry Research
Agentic AI Architecture — A Deep Dive
Agentic AI autonomously takes actions toward goals, combining generative intelligence with the ability to act and maintain context.
Stargo's Stardox leverages agentic AI to transform unstructured supply chain data into actionable insights, achieving objectives autonomously.
Executive Summary
This article explores the concept of Agentic AI, which is AI that can autonomously take actions toward goals, not just generate text or predictions. It describes Agentic AI as a system that combines generative intelligence with the ability to act, use tools, and maintain context. Unlike simple agents, agentic systems are goal-seeking, capable of perceiving their environment, planning multi-step actions, learning from feedback, and adapting strategies dynamically. This represents a shift from AI that merely answers questions to AI that achieves objectives. The article also discusses the evolution of Agentic AI, its key principles, architecture, and challenges.
Source: Medium
Authors: Pandiyaraj Selvaraj
Published: 2025-09-15T15:16:49.821Z
Original Article: https://medium.com/@pandiyarajs/agentic-ai-architecture-a-deep-dive-2a94390a67f3
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