Introducing TheAIAudit: A Platform Built to Measure, Monitor, and Govern Enterprise AI

Right now, somewhere inside your company, an AI system is probably making a decision that affects your customers, products, your finances, or your liability. And nobody can tell you exactly how that is happening. And that is the world every company is operating in today. My name is Jeff Carson and I'm the founder of the AI Audit. The AI Audit is a patent pending AI governance platform and the foundation become the measurement standard for enterprise AI. It answers the questions no one else is answering. What AI does the company own and what AI does the company owe? Which AI is making money and which AI is losing money? And where did AI risk enter the business? And how is it being mitigated? Every one of those answers roll up into a single number called the AI health score. It is like a FICO score, but for enterprise AI. One number, defensible, auditable, trusted by everyone who needs to ask whether your AI is safe to do business with. With over a thousand source level metrics underneath it, every one of them is traceable. The platform is the bridge between technical AI metrics and the business language executives, boards, and insurers actually understand. That bridge does not exist anywhere else in the market today. And right now, the absence of that bridge is costing companies real money. Insurance carriers are filing to exclude AI from coverage because no one can effectively measure the underlying risk. Boards are facing personal liability under doctrines like Caremark for failing to oversee the AI risk that they cannot really see. And regulators in the EU, the US, the UK, and Asia are moving toward requiring exactly the kind of structured, honorable AI governance this platform produces. The patent is pending. The platform is live today. And the production grade build is now underway with a global technology firm whose clients include some of the largest enterprises in the world. This is a system that is working, that is moving toward enterprise readiness, and companies that adopt it first will help shape what the standard for AI governance looks like. Boards need this. Insurance need this. Regulators are moving towards requiring it. And the measurement standard that connects all three of those audiences is what we are building.