Shipping an AI use case is easy. Proving it changed anything is not. Many teams celebrate deployment, but cannot answer a simple question: what operational constraint did AI remove? If cycle time, error rate, cost per transaction, or revenue per employee stay the same, you did not implement transformation, you added complexity. A serious AI audit traces impact from model output to business outcome, mapping handoffs, overrides, bottlenecks, and incentive conflicts along the way. If humans still recheck everything “just in case,” the system does not trust itself. And a system without calibrated trust does not scale. As AI Transformation Partners, we are not paid to launch tools. We are responsible for measurable constraint removal. No constraint removed, no transformation delivered.