Autonomous Enterprise AI Auditor

Autonomous Enterprise AI Auditor is a multi-agent AI governance and compliance platform designed to help enterprises automatically audit, monitor, and improve their AI systems in real time. As organizations rapidly adopt generative AI and autonomous agents, enterprises face increasing challenges related to compliance, hallucinations, bias, transparency, security, and operational reliability. Our solution addresses these challenges by providing an intelligent auditing layer powered by advanced AI agents running on AMD GPU infrastructure. The platform uses multiple specialized AI agents working collaboratively to analyze enterprise AI systems from different perspectives. A Compliance Agent evaluates outputs against organizational policies and regulatory requirements. A Bias Detection Agent identifies unfair or potentially harmful responses. A Performance & Reliability Agent measures hallucination risks, consistency, latency, and output quality. A Risk Scoring Agent aggregates findings into a unified enterprise risk score with explainable insights and remediation recommendations. The system is powered by open-source Qwen models accelerated with AMD ROCm and AMD GPU infrastructure, enabling scalable and cost-efficient inference for enterprise workloads. Using AMD Developer Cloud and optimized inference pipelines, the platform delivers real-time auditing capabilities suitable for modern AI-powered applications, customer support systems, enterprise copilots, and internal AI agents. Our goal is to build a trustworthy AI auditing framework that helps enterprises confidently deploy AI systems while improving governance, transparency, and operational safety. By combining multi-agent orchestration, explainable AI analysis, and AMD-accelerated infrastructure, Autonomous Enterprise AI Auditor demonstrates how AI can be used to responsibly monitor and govern other AI systems at scale.