Sova AI Readiness
Manager report · illustrativeReadiness bandProficient / Advanced
Fairness reviewDIF screened
Psychometrically validated · licensed to Sova Assessment
Stop guessing AI literacy.Measure where work actually happens.
AI is not replacing whole jobs. It is recomposing them task by task. genAssess measures whether candidates and employees have the Core-6 knowledge needed to work safely and effectively in the Augmentable Zone.
48 questions · 15–20 minutes · Mobile-friendly · Delivered through Sova
Band 4 / 5
EU AI ActArticle 4 literacy
Monash GLATr = 0.83 validation
NIST AI RMFGovern · Map · Measure
UNESCOHuman-centred competency
SOVAEnterprise delivery
The prompt trivia trap
AI investment is accelerating. Workforce evidence is not.
Self-report, course completion and prompt syntax are weak proxies for the judgement needed in real work.
Common proxygenAssess standardOperational value
Confidence surveysObjective scenario reasoningReveals actual knowledge gaps
Prompt syntax quizzesDurable, tool-agnostic judgementTransfers across platforms
Unvalidated item setsCalibrated against GLATEvidence buyers can examine
Course completionSix competency signalsTargets development investment
One methodology · three layers
From task strategy to measurable capability.
genAssess connects the way work is changing with the knowledge and behaviours people need to adapt.
Core-6 AI Literacy
The validated, commercially available assessment of six durable AI readiness competencies.
Explore Core-6H/A/A Task Taxonomy
Classify work as Automatable, Augmentable or Human-only before deciding what capability matters.
Enter the Augmentable ZonePRIME Applied Skills
A practical rubric for structuring, evaluating and improving human-AI collaboration.
Explore PRIMEThe strategic lens
AI does not replace jobs. It recomposes tasks.
Explore how increasing AI exposure can shift an illustrative task profile and which Core-6 competencies become most important.
25%Automatable
56%Augmentable
19%Human-only
Core-6 priorityBias, Ethics & Risk · Human Oversight
Illustrative task mix only. A role-level analysis should examine the actual tasks, context and decision impact.
Operationalised on Sova
The six competencies that define AI readiness.
Click through the model to see the construct, the risk it helps reduce and the assessment signal it creates.
AIF · 01
AI Foundations
Tests whether someone has the mental models needed to understand what AI systems can do, where they fail and why confident output is not the same as correct output.
What it measures
Core mechanics, capabilities and limitations
What it helps prevent
Automation bias and blind trust in AI-generated answers
Assessment signal“Can they explain when an AI answer needs challenge or verification?”
Ready to deploy the Core-6 assessment across your talent pipeline?
Academic evidence & fairness
Validated against an independent AI literacy benchmark.
GLAT correlation
Strong convergent validity in a 289-participant validation trial.
Statistical strength
The observed relationship is highly unlikely to be due to chance.
Fairness analysis
Items were examined across sex, age and ethnicity within the study sample.
Operational form
Eight questions across each of six competencies, delivered in 15–20 minutes.
Fairness analysis is evidence, not a claim that any assessment is universally “bias free”. Scores should support proportionate human decisions and ongoing monitoring.
The behavioural horizon
PRIME makes good human-AI collaboration observable.
Use the five-part rubric to structure interviews, workflow reviews and practical development.
Purpose
Define the operational outcome before asking AI to act.
Role & context
Supply the constraints and domain context that shape a useful response.
Instructions
Structure clear steps, evidence requirements and output boundaries.
Models & examples
Use strong examples to anchor format, depth and quality.
Evaluate & refine
Verify claims, identify errors and improve the work iteratively.
Enterprise solutions
One evidence standard. Three decisions.
Separate real capability from confident claims.
Add objective, job-relevant evidence to selection and use competency profiles to structure better follow-up interviews.
Benchmark first. Train what is actually missing.
Map Core-6 capability across functions, target investment to specific gaps and measure change over time.
Turn AI literacy activity into evidence.
Support an Article 4 literacy programme with role-aware baseline data, human oversight signals and repeatable records.
The global standard for AI readiness
Put measurable capability to work.
Deploy genAssess through Sova’s enterprise assessment platform.