This is chapter 7 of Roboflow's Vision AI Center of Excellent Blueprint.

Most industrial enterprises spend about three years stuck in vision AI pilots. They run twelve to twenty-four use cases, scale two, and quietly write off the rest. The frustrating part is that the count of use cases tells you almost nothing about whether the program is healthy. A company with fifteen pilots in flight can be further from a scalable capability than one with three, because the thing that separates the two is not how many models you have built. It is whether you have built the system that lets them scale.

Roboflow's Vision AI Center of Excellence Blueprint includes a fast way to check where you actually stand. These are ten yes/no questions the operating committee can answer in one sitting. Count your yes answers and read your score at the end.

How to Read Your Score

Tally your yes answers.

Six or more means your program is on the curve. You are running a real capability, not a string of pilots. The catalog exists, it is governed, it is staffed, and plants are pulling from it. The work now is to keep it growing and bend the autonomy curve further: more internal-led deployments, faster time to value, more certified practitioners per site.

Three to five means a Center of Excellence is forming but not yet operating. The pieces are coming together, but the operating model is not running on its own yet. The fastest path forward is to close your lowest-scoring areas, often a written Inspection Blueprint, named roles, or a clear definition of done, before adding more use cases on top of a foundation that is not set.

Two or fewer means the program is in pilot purgatory, regardless of how many use cases are in flight. The work that actually scales has not started. The move is not another pilot. It is to ship one complete catalog entry, end to end, and name the Builder, Scaler, and Operator who own it.

Why These Questions and Not Others

Notice what the diagnostic does not ask. It does not ask how accurate your best model is, how many use cases you have identified, or how impressive your latest demo looked. Those are the metrics that make a program feel healthy while it stays stuck.

Every question above is about the system around the models: whether solutions are packaged to be reused, whether the work is owned by named people, whether plants can pull without waiting on headquarters, and whether the program runs on a cadence instead of a series of one-off pushes. That is the difference between a program that compounds and one that restarts with every deployment. The questions you score worst on are your roadmap.

What To Do Next

If you landed in pilot purgatory or saw a Center of Excellence only half-formed, the blueprint lays out the full path: the five-level maturity model, the Standard Solution Catalog and the six artifacts every entry ships with, the three roles that run it, and the autonomy curve that bends cost per deployment downward over time.

Get your free copy of the Vision AI Center of Excellence Blueprint, or if you want to map your current state to the model and plan the next move, talk to our team.

Further reading

• Chapter 2: Why Top-Down Vision AI Rollouts Fail
• Chapter 3: What Goes in a Vision AI Solution Catalog Entry & Renting Vs. Owning
• Chapter 4: The Vision AI Maturity Model
• Chapter 5: How to Staff a Vision AI Team

Cite this Post

Use the following entry to cite this post in your research:

Contributing Writer. (Jun 1, 2026). Is Your Vision AI Program in Pilot Purgatory? A 10-Question Diagnostic. Roboflow Blog: https://blog.roboflow.com/vision-ai-program-in-pilot-purgatory-diagnostic/