AI is scaling.
Value isn’t.
The AI Institute measures the gap—and helps leaders close it through research, benchmarking, learning and advisory.
What must change in the organisation—not just the technology—for AI to create durable value?
Read the thesis →EXECUTIVE BRIEFING
The
Adoption
Mirage
Adoption is not one number.
The figures leaders quote measure different populations and thresholds. None shows whether AI is embedded, accountable or creating value.
01Retire adoption as a standalone success metric.
02Measure operating depth at workflow level.
03Require control and outcome evidence before scale.
Current intelligence
All research →The Adoption Mirage
Why AI adoption can be 12%, 41% and 88% at the same time—and why value needs a better measure.
↗02The Workflow Dividend
How time saved becomes measurable enterprise value—and where the dividend disappears.
↗03Delegation by Design
Authority budgets, control evidence and accountability before agent autonomy scales.
↗One connected institute
Evidence should change what you do next.
Our work connects four parts of the same leadership problem, from external signal to internal capability.
See the market clearly
Evidence syntheses and executive briefings.
Locate the constraint
A readiness profile across six dimensions.
Build role capability
Free foundations, paid pathways and 45 role-based courses.
Make it operable
Focused roadmaps, governance and capability programs.
FOR BOARDS & EXECUTIVE TEAMS
You do not need another list of use cases. You need a coherent value agenda.
We turn readiness evidence into the choices, governance and capability required to execute.
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