An independent benchmark of real-world AI maturity in European mid-market companies.
Built and maintained by Arqmetrica, anchored in EU AI Act criteria, OECD AI Principles, NIST AI RMF, ISO/IEC 42001 and Stanford/MIT Sloan benchmarks. Take the assessment in under 10 minutes — your score, your peer benchmark, and your three highest-leverage moves are returned instantly and privately.
Six dimensions, one weighted score.
Each dimension maps to specific clauses in published frameworks. Click any dimension to see the questions before you take the assessment.
Strategy & vision
The clarity, board-level alignment, and prioritisation discipline of the organisation's AI ambition.
Learn more →Data foundations
The quality, governance, and accessibility of organisational data for AI use cases.
Learn more →People & capability
The literacy, hiring posture, training cadence, and role evolution of the workforce in relation to AI.
Learn more →Governance & ethics
The risk framework, EU AI Act readiness, model oversight processes, and ethical guardrails in place.
Learn more →Tooling & infrastructure
The maturity of the AI/ML stack, vendor strategy, integration capability, and platform discipline.
Learn more →ROI & measurement
The value tracking, ROI scorecard discipline, kill-switch culture, and outcome attribution rigour.
Learn more →European mid-market AI in three numbers.
These figures are calibrated against the most-cited European mid-market AI research (MIT Sloan/BCG 2024, Stanford AI Index 2024, Capgemini) and continuously refined from aggregated arqmetrica Index responses. Full methodology: arqmetrica.com/the-index/methodology.
Median maturity score
47/100
Source: MIT Sloan/BCG 2024
Companies with named AI governance
31%
EU AI Act enforcement begins August 2026
Pilots that reach production
22%
The 'AI pilot purgatory' gap