AI Readiness Benchmark · fieldwork 2026-06-17 to 2026-07-07
The headline
Based on 69 completed responses (±12% at 95% confidence), this report benchmarks AI readiness across 6 capability dimensions. Overall AI readiness stands at 48%, placing this cohort in the Developing band — foundations are in place, but adoption is partial and not yet consistent.
Capability profile
Solid = this cohort · dashed = Peer baseline (all researches)
Across 6 dimensions, scores range from 44% (Cloud infrastructure) to 52% (Strategy & funding). 3 of 6 sit at or above their cohort median. Versus Peer baseline (all researches), the cohort leads on 4 of 6 comparable dimensions. 0 dimensions fall in the Leading band and 0 in Emerging.
Dimension detail
Filled bar = this cohort · shaded band = the p25–p75 spread of respondents · marker = the median.
The spread
Overall readiness scores span 8% to 95% with a median of 49% and a mean of 48%. Roughly 33 of 69 respondents scored at or above the median. 13 respondents (19%) reached the Leading band, while 15 (22%) remain in Emerging.
early foundations; AI efforts are largely ad hoc and unfunded
foundations are in place, but adoption is partial and not yet consistent
AI capability is governed, funded and scaling
Who responded
Responses span 10 industries and 10 countries. The largest single group is Financial services (12 respondents, 17%). 69 of 69 respondents (100%) were identified; 0 were anonymous.
Industry
Company size
Seniority
Country / region
What the data says
Strategy & funding leads at 52% (cohort median 50%); Cloud infrastructure lags at 44% (median 33%) — an 8-point internal spread.
Talent & skills sits 4 points below its own cohort median — the widest below-median gap of any dimension.
Overall scores range from 8% to 95% (median 49%); 13 of 69 respondents (19%) reach the Leading band.
72 of 72 people who began the survey finished it (100% completion).
On "How would you rate your team's AI/ML skills?", Public sector selected the highest-maturity option 40% of the time versus 16% cohort-wide — 24 points above the average.
Segment divergence
Breaking each question down by industry surfaces where groups diverge from the cohort average. Segments with fewer than five respondents are hidden to protect anonymity and avoid over-reading small samples.
On "How would you rate your team's AI/ML skills?", Public sector selected the highest-maturity option 40% of the time versus 16% cohort-wide — 24 points above the average.
On "How mature is your AI security and governance?", Professional services selected the highest-maturity option 40% of the time versus 19% cohort-wide — 21 points above the average.
On "How mature is your AI security and governance?", Public sector selected the highest-maturity option 40% of the time versus 19% cohort-wide — 21 points above the average.
On "How would you describe your data governance today?", Telecom selected the highest-maturity option 0% of the time versus 20% cohort-wide — 20 points below the average.
In their own words
The themes respondents raised most often across the open-text answers. Individual responses are kept private.
Most frequent terms
Where to focus
With a report-readiness score of 81/100 and ±12% at 95% confidence, this dataset is robust enough to support confident, publishable conclusions. The prioritised actions below focus effort where it moves readiness the most.
Review low-quality responses
3 flagged below quality threshold.
Prepare charts and insights for the report
8 charts ready.
Close the survey
Sample size and quality look strong.
Your turn
See exactly where you stand against this cohort. Opsio runs the assessment, scores your AI readiness across every dimension, and hands you a plan.
Opsio · Intelligence Radar · 69 respondents · 48% overall