This blog post explores the potential of using AI, specifically large language models (LLMs), to enhance access control systems by automatically classifying documents based on sensitivity, department, and type, and dynamically enforcing permissions through Fine Grained Authorization (FGA) methods like Attribute-Based Access Control (ABAC). The author presents a case for integrating AI with human oversight to automate the process of classifying and managing access to sensitive information, which has traditionally relied on static role-based or manual methods prone to human error. By utilizing OpenAI's capabilities to analyze document content and Permit.io's ABAC framework to enforce policies, the proposed system could streamline workflows, improve compliance, and reduce security risks by ensuring only authorized users have access to specific documents. The blog provides a tutorial on implementing this AI-driven access control system in a corporate setting, demonstrating its effectiveness through various scenarios and emphasizing its potential to make access management more efficient and secure.