Most “AI audits” fail before implementation even starts.Not because the model is bad. Not because the data is missing. But because the audit never answered three core questions: What business decision is this AI supposed to change? What human judgment is being replaced, assisted, or accelerated? What operational metric will look different after 30–60–90 days? If your audit starts with tools, workflows, or architectures, you are already too late. A real AI Audit is a decision audit first, a process audit second, and only then a technology discussion.
AI transformation does not begin with automation. It begins with clarity.