Most organisations are running AI activity.
Fewer are ready to scale it.
A short assessment for senior leaders who want an honest view of whether the foundations — strategy, data, ownership and governance — are in place to support AI at scale.


What this assessment looks at
The areas that most often determine whether AI succeeds or stalls have little to do with the technology itself.
Strategy: Is AI aligned to real business outcomes?
Data: Is data reliable, governed and clearly owned?
Leadership: Is accountability defined and supported?
Operating Model: Can AI scale into business as usual?
Technology: Can current platforms support AI at scale?
Governance: Are risk and decision rights defined?
Value: Is impact being measured and understood?


Why this exists
AI activity is increasing in most organisations. Structured readiness to scale it is not.
Programmes stall not because the technology is wrong, but because ownership is unclear, data foundations are unprepared, and the operating model was never designed to carry AI beyond experimentation.
This assessment is designed to make those gaps visible — quickly and without preparation — so leaders can address them before momentum is lost or exposure increases.
