Across the group
The same dimensions and the same benchmark in every division, so a comparison between them means something — and a division never grades its own homework.
For enterprise
Every division, one honest reading.
You can see what every part of the business spends. A benchmark shows what AI is actually returning in each division — measured from evidence, comparable across the group, and dated so progress is a fact.
Down to the evidence
Every score traces back to what it was read from, so leadership can test the view rather than take it on trust.
Progress you can date
Each benchmark is dated. The next one is comparable with it, so movement shows up as evidence rather than narrative.
What you get
A group view, and what to do in each division.
Where the value is
Which divisions are converting AI spend into measurable outcomes, and which are carrying cost without a return.
Where the risk sits
Exposure that is growing faster than the controls around it, before it reaches the board.
What to fix first
Prioritized findings per division, and experienced practitioners to close the gaps where a division wants help.
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