Sova AI Readiness
Manager report · illustrativeReadiness bandProficient / Advanced
Fairness reviewDIF screened
Psychometrically validated · licensed to Sova Assessment
Stop guessing AI readiness.Measure the knowledge that matters.
The Sova-delivered genAssess assessment gives candidates and employees the same Core-6 measure of foundational AI knowledge. Use the results to inform development and decisions alongside other evidence about the work itself.
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
An assessment and companion resources
From a knowledge baseline to a task conversation.
Core-6 is the assessment available through Sova. The Automatable / Augmentable / Human-only (A/A/H) task lens and PRIME are separate resources for discussing work and applied behaviour.
Core-6 AI Literacy
The validated, commercially available assessment of six durable AI readiness competencies.
Explore Core-6A/A/H Task Lens
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 use cases
One knowledge baseline. Different decisions.
Look beyond self-reported AI ability.
Use the common Core-6 knowledge baseline in selection, then explore role requirements through separate interviews or work samples.
For talent acquisitionBenchmark first. Train what is actually missing.
Compare Core-6 knowledge across cohorts, target learning to the gaps you find and reassess over time.
For learning and developmentTurn AI literacy activity into evidence.
Add a common Core-6 knowledge baseline to an Article 4 literacy programme, then interpret it alongside people's roles and AI use.
For HR leadersStart with the question
What would useful AI readiness evidence look like?
Understand the difference between workforce knowledge, performance in a role and the conditions for responsible adoption.
The global standard for AI readiness
Put measurable capability to work.
Deploy genAssess through Sova’s enterprise assessment platform.