GenAI vs AI Agent vs Agentic AI

GenAI        ----   AI Agent    ----    Agentic AI 

(Thinks)                (Acts)               (Thinks, plans, acts and adapts)

Engineering analogy:

• GenAI → A smart function (Creates content when you ask)
• AI Agent → A running service (Observes, decides and acts toward a goal - loop)
• Agentic AI → A coordinated system of services with control logic (Autonomously plans, coordinates actions, and adapts until the goal is achieved).

Agentic AI

Agentic AI refers to AI systems that can autonomously plan, decide, and take actions over multiple steps to achieve a goal - not just generate an answer.

Agentic AI = advanced AI Agents with autonomy + reasoning

AI Agents are the building blocks of Agentic AI - An architecture and behavior, not a single model.

e.g., Imaging workflow orchestration (DICOM/PACS), SCADA self-healing agents, Vehicle diagnostic agents (CAN, UDS)

AI Agents

 An AI Agent is a software system that can: Observe → Decide → Act to achieve a goal.

AI Agent  =  Goal-driven software that takes actions based on observations.

Reads data (logs, sensors, messages, files, APIs)  -> Applies rules, models, or LLM reasoning -> Executes commands (API calls, device control, alerts, updates) -> Observes results and adjusts behavior (loop repeats)

Perception  ->  Decision  ->  Action  ->  Feedback Loop (repeats)

e.g., Clinical workflow agents (Medical), SCADA monitoring agents (Industrial Automation), Diagnostic agents (CAN, UDS) (Automotive)

GenAI

AI systems that generate new content— text, images, code, audio, video —based on patterns learned from data.

Generative AI is content generation, works reactively (responds to input, doesn't act on its own) - usually not autonomous.

e.g., ChatGPT, DALL·E, Claude, Gemini, Stable Diffusion.