What is a good AI adoption score for a franchise?

Above 63/100 is above average, and 70+ puts a system in the leading group — 15 of the 50 systems in the Franpulse.ai Index score 70 or higher. Below 50 is the laggard band, where 6 tracked systems sit.

The score only means something against the distribution, so here is the distribution.

The bands

—70 and above — leading. 15 of 50 tracked systems.

—50 to 69 — the broad middle, where most systems sit.

—Below 50 — laggard. 6 of 50 tracked systems.

—Industry average: 63.

What the number is actually measuring

Four weighted pillars: operations AI 35%, data infrastructure 30%, marketing AI 20%, training and support AI 15%. It measures depth of deployment, not financial return.

A score of 75 does not mean a system is more profitable than one at 55. We have no verified data linking AI score to unit economics, and we do not publish estimates we cannot source.

The more useful diagnostic

Compare your own four pillars against each other. A marketing pillar far ahead of the data pillar is the most common pattern we see, and the most reliable predictor that AI investment will underdeliver.

Have a different question?

Ask Vida — answered only from verified data.