What The Certified Enterprise argues, who it was written for, and the question it ends on.
Every number in your business is correct. None of it is certified.
Ask what last month’s revenue was and three systems will answer. Each will be right. None of them will agree.
That gap has a name — data anarchy — and it is not a data quality problem. It is the absence of any authority that decides which version of a fact governs. It was survivable when a human being read every number before acting on it.
Then we put artificial intelligence where that human used to be.
An AI grounded in unreconciled data is not safer than one that is ungrounded. It is more confident. It will not tell you which definition it used, because it does not know the question applies.
The Certified Enterprise argues that what is missing is not better models or better dashboards. It is a layer that has appeared in every other market where trust became load-bearing — an audit in public companies, a bureau in lending, a certificate on the web. Michael L. Atkinson calls it the truth layer: a deterministic certification tier that establishes, before anything else is permitted to touch the data, whether an operational fact is what it claims to be.
Written for the executives who carry the consequence — the chief financial officer who signs, the chief technology officer who has to make the claim architecturally real, and the chief executive for whom this is a strategic question — the book defines certification precisely enough to test on your own organization, sets it against the Federal Rules of Evidence, and states plainly where the layer stops and human judgment begins.
It also does something unusual in this category: it shows its own work. Figures that failed the book’s own test were cut rather than softened. The most quoted statistic in enterprise AI is examined and then refused. The author’s own errors are named.
A number without a certified methodology is not evidence. It is an opinion with a decimal point.
The closing question is not whether your data is good enough, or whether certification is coming. It is whose name is on your numbers — and whether that person could show you, tomorrow morning, how they got there.