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Browse the genAssess frameworks, evidence, tools and resources.

Overview

HomeThe genAssess approach to objective AI readiness assessment.What is AI readiness?The knowledge, work and organisational conditions behind readiness.AI readiness assessmentThe Core-6 product delivered through Sova, including scope and limits.Contact genAssessAsk about advisory, licensing or your AI readiness programme.

Use cases

For enterprise teamsOne knowledge assessment and four different decisions.Talent acquisitionA consistent AI knowledge baseline in candidate selection.HR leadersWorkforce literacy evidence within a wider people programme.Learning and developmentUse cohort gaps to target and evaluate learning.AI transformationConnect foundational knowledge with rollout and workflow evidence.

Frameworks

Core-6The six knowledge areas that underpin safe and effective AI use.The Augmentable ZoneA task-level model for understanding where human-AI collaboration adds value.PRIMEThe behavioural standard for effective human-AI collaboration.

Evidence and application

Science and validationHow genAssess was developed, tested and evaluated.Regulatory complianceUsing assessment evidence to support workforce AI literacy obligations.Augmentation ExplorerExplore how tasks vary across automatable, augmentable and human-only work.ResourcesThe Readiness Signal, guides, research and regulatory sources.Core-6 companion guideA free A/A/H and PRIME worksheet for one real task, separate from the assessment.How to measure AI readinessA practical guide to choosing and interpreting evidence.AI readiness assessment versus confidence survey: what should you measure?A guide for HR and L&D teams comparing AI knowledge assessment, confidence surveys and separate evidence of applied capability.How to define AI proficiency in hiringA practical guide for talent acquisition teams to write a job-relevant AI requirement and evaluate knowledge and applied evidence separately.What evidence belongs in an AI literacy programme?An Article 4 evidence guide for HR and AI enablement teams: document context, learning measures and review without treating a test as compliance certification.

The Readiness Signal

Recruiters trusted the algorithm less. It influenced them more.Asking recruiters whether they trust AI does not show how much weight its advice receives when a hiring decision is contested.AI use is rising. Learning access is falling.Low AI use can reflect limited opportunity as well as limited knowledge. Diagnose both before assigning training or judging potential.Can your people overrule AI?Knowing when to challenge an AI output is one part of readiness. People also need time, evidence and authority to do it.Self-taught is not the same as AI-readySelf-directed learning can be valuable. The route someone took to learn tells you less than what they understand and can apply responsibly.AI proficiency is becoming a hiring requirement. But what counts as proof?Before assessing AI proficiency, define what it means in the job. A common knowledge baseline and role-relevant evidence answer different questions.