Most AI Readiness Checks Measure Only Half The Business

By Naomi Withers | WBN News | September 23, 2026 Editor: Karalee Greer Subscription to WBN and being a Contributor is Free

Most owners have a read on one or two dimensions of their readiness for AI.

Usually the systems, sometimes the budget. On everything else, the read is partial or missing.

So the plan gets built on the parts they know well, and the parts they do not know get absorbed as risk nobody put a number on. That is a reasonable move when information is short. It is also the most predictable reason an AI project quietly doesn't get integrated.

By The Numbers

Cisco's 2025 AI Readiness Index surveyed more than 8,000 organizations and found that only 13 percent were actually moving AI from pilot into production at scale. The other 87 percent sat somewhere between intention and operation.

Gartner's March 2026 outlook tightens it. Only 12 percent of organizations rate their data as ready for AI, and through this year 60 percent of AI projects without AI-ready data are expected to be abandoned.

These are not edge cases. They are the ordinary condition.

The Five Things Worth Scoring

Five dimensions decide whether an AI investment lands. Score each one from one to five, honestly.

Your technology. Can the systems you actually run support what you are considering, tested rather than assumed from a vendor demo.

Your data. Is it organized, accessible and trustworthy enough to feed the thing you want to build.

Your culture. Can your team absorb change at the pace your plan assumes.

Your strategy. Have you tied this to a specific business problem, or are you moving because everyone else is.

Your people's skills. Do you know what your team can do today, what they will need, and how the gap closes.

Most owners can score three of these in an afternoon. Almost nobody scores all five.

The One That Separates Everything

If you add only one dimension you have not been scoring, make it culture and change readiness.

In the Cisco data, 91 percent of the organizations succeeding with AI had a full change management plan in place. Among everyone else, 36 percent did.

That is not a subtle difference. It is the clearest separator between the businesses where AI lands and the businesses where it goes quiet, and it has nothing to do with the technology.

What To Do With A Low Score

Here is the move most owners get backwards.

Sequence the work around the dimension that scored lowest, not the project that is easiest to start.

If data scored lowest, the next ninety days are about data, whatever the vendor is most eager to sell you. If culture scored lowest, the next ninety days are conversations rather than a platform.

It is worth having someone outside the business score it alongside you. The dimensions where you hold the strongest opinions tend to be the ones where you are most likely to overestimate.

Why It Matters

Gartner found that 45 percent of organizations with high AI maturity keep their projects running for at least three years. Among low-maturity organizations, 20 percent do.

Those high-maturity companies scored themselves honestly across all five dimensions and fixed the weakest one first. Better technology was not what set them apart.

The scoring is not complicated and it takes an afternoon. Do it before the next invoice rather than after.

The useful next move here is honest. Not heroic.

Adapted from an article first published on the Growth Consultant Services blog: AI Readiness, Honestly Measured

About The Author

Naomi Withers | WBN News https://www.linkedin.com/in/naomi-withers-7044491b/

Naomi Withers is the founder of Growth Consultant Services, where she advises founders, CEOs, and executive teams on AI strategy, executive coaching, and high-performance leadership. Her AI Transformation Diagnostic scores all five dimensions and is a free place to start. She writes at growthconsultantservices.com.

Editor: Karalee Greer Subscription to WBN and being a Contributor is Free

Tags: #Naomi Withers #WBN News #Artificial Intelligence #AI Readiness #AI Strategy #Business Growth