Go beyond generic upskilling. Know exactly where your teams stand, where the gaps are, and how to close them — with data that holds up to scrutiny.
Most organisations roll out broad AI training without a baseline. Six months later, leadership asks: "Are we ready?" and the answer is a shrug.
Without measurement, you're flying blind. You can't target interventions, you can't demonstrate ROI, and you can't make the case to the board.
Every participant completes the assessment and receives an AI Quotient (0–1000) across three critical dimensions.
Foundational AI concepts, terminology, and awareness
Practical tool usage, prompting, and workflow integration
Risk awareness, ethics, compliance, and strategic oversight
These roll up into an organisational benchmark that shows you exactly where to act.
See how your organisation ranks as a whole, and how competency is distributed across experience levels. No blind spots.
Identify which teams are leading and which need support. Marketing vs Engineering vs Operations — data, not assumptions.
Know exactly which competencies are weak. Direct L&D investment to where it matters, not across-the-board training that misses the mark.
Establish a baseline, run interventions, and benchmark again. Show the board that your upskilling investment moved the needle.
Enterprise AI maturity frameworks tell you where your systems stand. AIQ Score tells you where your people stand — the pillar most maturity models measure last, but depend on most.
AI awareness is ad hoc. A few individuals experiment; most of the workforce has no shared vocabulary or baseline. Risk exposure is invisible.
Pilots and training exist, but capability is uneven across teams. Productivity gains are anecdotal — not yet measurable or repeatable.
AI is embedded in daily workflows. Teams apply tools responsibly, governance awareness is broad, and interventions are targeted by data.
AI fluency is an organisational asset. The workforce drives measurable ROI, governance is second nature, and maturity is re-verified over time.
Every team member takes one rigorous assessment. You get a maturity score across Literacy, Application, and Governance — your baseline.
Gap analysis shows the distance between where each department stands and the proficiency target — so you invest where the return is largest.
Run targeted interventions, then benchmark again. The monthly trend shows leadership a maturity curve — pilots turned into measurable impact.
The framework is aligned with ISO/IEC 42001, the NIST AI RMF, and the EU AI Act — so the benchmark holds up to scrutiny from auditors, regulators, and your board.
AI Management System standard for governance and controls
AI Risk Management Framework for trustworthy systems
Regulatory compliance for high-risk AI system obligations
You're being asked to upskill the workforce on AI, but you don't have a baseline. This gives you the data to design targeted interventions and prove ROI.
You need to answer "Are we ready for AI?" with evidence, not vibes. This benchmark gives you a defensible answer backed by data aligned to global standards.
You're fielding questions about AI risk and governance readiness. This assessment shows you where the organisation stands on governance competency — and where the gaps are.
Get in touch to discuss an enterprise assessment. We'll walk you through the framework, the process, and what you can expect.
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