DataLgorithmics Research Programme
AI Adoption Index
Measure how organisations move from experimentation to repeatable, governed AI use.
Status: research / benchmark framework. No benchmark result, ranking or market statistic is claimed on this page unless it has been produced from a documented dataset and published methodology.
Measurement dimensions
Use-case adoption
Measured through defined indicators rather than a single unsupported score.
Production deployment
Measured through defined indicators rather than a single unsupported score.
Workflow integration
Measured through defined indicators rather than a single unsupported score.
Leadership ownership
Measured through defined indicators rather than a single unsupported score.
Workforce adoption
Measured through defined indicators rather than a single unsupported score.
Value measurement
Measured through defined indicators rather than a single unsupported score.
Research design principles
Define the population and sampling approach before interpreting results.
Separate self-reported maturity from observed operational evidence where possible.
Document scoring and weighting.
Protect participant confidentiality and aggregate results appropriately.
Publish limitations and uncertainty.
Version methodology when indicators change.
How organisations can participate
Organisations may be invited to contribute structured assessment data, interviews or evidence under an agreed research and privacy framework. Participation should not imply endorsement or commercial relationship.