AI Data Readiness

Users don't experience a model, data platform and operating layer as separate technologies. They experience one service and judge whether its answer is useful, complete and trustworthy. Five practical lessons for leaders connecting AI to real business data.

We gave two versions of the same production system the same difficult exam — same governed source, same questions, judged against the same ground truth. What changed was the complete configuration through which the AI received and worked with the information. The result was not close: 60.0% versus 35.1% fully correct.

Two executives receive the same facts — one as a dense export, one as a clear briefing. The facts are identical; the ability to use them is not. AI assistants face the same challenge, and the handover between trusted data and the model can quietly decide whether the answer is right.