In the digital era, the proliferation of User- Generated Content (UGC) on online platforms has elevated the importance of effective content moderation systems to ensure safe, respectful, and legal online interactions. This paper introduces an innovative framework for video content moderation that harnesses the power of Artificial Intelligence (AI) alongside customizable rule sets and actionable pipelines. We delve into the intricacies of developing and implementing an AI-driven system tailored for video content, emphasizing the importance of precise rule definition to effectively identify and address potential violations. Our approach integrates cutting-edge computer vision algorithms, natural language processing techniques, and audio analysis capabilities to comprehensively assess video content for adherence to community guidelines and regulatory standards. Central to our framework is the concept of custom rules, empowering platform administrators to establish precise criteria for content evaluation within a remedial pipeline to ensure compliance.