Bridging the AI ROI Divide: 12% vs. 88% Insights
How AI value is measured and governed: a study of pilot design, investment sequencing and executive accountability.
OPEN SUMMARY
The question behind the analysis.
Why can organizations with access to similar AI tools report very different outcomes? The report examines measurement, governance and execution as possible explanations, and asks what leadership teams need to make an investment decision they can defend.
Three ideas to examine
- A useful pilot connects a defined business problem to an observable baseline and criteria for continuing, changing or stopping the work.
- A return-on-investment discussion depends on what is counted: time saved, realized financial effects, operating costs and the work required to adopt the solution.
- Decision rights and investment sequencing shape whether learning from individual projects can inform the wider portfolio.
What this means for a decision
Agree on the outcome, baseline, owner and decision threshold before launching a project. Examine whether the organization can distinguish a promising demonstration from an improvement that persists in operation.
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