Level Summary


This entry is part 8 of 8 in the series Agentic AI Progression Framework

This table provides a quick reference to the five levels of the Agentic AI Progression Framework as described by Pascal Bornet et al in the book Agentic Artificial Intelligence. It condenses each level into a short phrase and a brief description, moving from basic automation to full autonomy.

Level 1 Level 2 Level 3 Level 4 Level 5
Rule-based automation Intelligent automation Agentic workflows Semi-autonomous agents Fully autonomous agents
Systems follow predefined rules and execute only when explicitly triggered by a human. At this level systems use basic AI to handle more complex scenarios, enabling them to process semi-structured data, recognize patterns, and make basic decisions. AI coordinates and executes multi-step processes within a defined scope, acting without direct prompts when conditions are met. Agents operate across a broad range of tasks, adapting to changing conditions with minimal human oversight. AI operates entirely independently, setting its own goals and determining how to achieve them across multiple domains.

This high-level view offers a simple way to place any AI system on the spectrum of agency. While each level brings new capabilities, it also introduces new considerations for governance, ethics, and human oversight.

Agentic AI Progression Framework

Level 5 — Full Agency

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