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Free Self-Evaluation - Business AI Readiness

AI investment without a baseline is guesswork.

Without knowing where your organisation actually stands, effort and budget go to the wrong layer first. Fifteen questions. Under five minutes. Your results map your gaps and name the first step of the right journey.

Under 5 Minutes

15 focused questions across 5 readiness dimensions

Actionable Insights

Personalised recommendations based on your scores and weakest areas

Free PDF Report

Your readiness score, dimension breakdown, and recommended next steps

This assessment is part of the How We Run track - understanding how AI-native business operations applies to your organisation.

Methodology informed by

McKinseyBCGGartnerMITRERAND CorporationEU AI ActWEF

Assessment Framework Design

These sources shaped the assessment’s structure — the 5 dimensions, differential weighting, 3-level maturity model, and scoring methodology.

Klement, Riedel & Franczyk (2024)Development and Evaluation of a Maturity Model for AI Deployment CapabilityTaylor & FrancisPrimary academic reference for differential dimension weighting. Expert-derived weights validated our Strategy > Data > People > Governance > Technology priority order.doi.org ↗Stoiber et al. (2023)Keeping Your Maturity Assessment AliveBISE, 65(6)Methodology for maturity assessment design: measurement vs diagnosis, progressive disclosure, assessment lifecycle management.link.springer.com ↗MITRE (2023)AI Maturity Assessment Model (AIMAT)MITRE CorporationMost comprehensive framework analysed. 6 pillars, 20 dimensions, 5 maturity levels. Informed dimension clustering and cross-framework frequency analysis.aimaturitymodel.mitre.org ↗GartnerAI Maturity Model & IT Score DiagnosticGartner Research7-area framework. Contributed to dimension frequency analysis and diagnostic methodology design.gartner.com ↗BCG (2024)AI Maturity Matrix — Which Economies Are Ready for AI?Boston Consulting GroupCountry-level AI readiness data. Source for governance gap finding: over 70% of economies score below average in AI governance readiness.bcg.com ↗Microsoft (2025)AI Readiness WizardMicrosoft5-driver, 10-question quick-check format. Informed question design trade-offs (speed vs depth) and completion time targets.adoption.microsoft.com ↗appliedAI (2025)AI Maturity Assessment ToolappliedAI Initiative (EU)10-dimension, 2-tier model (Quick Check + Deep Dive). European perspective. Informed tiered assessment strategy.appliedai.de ↗Sia PartnersAI Maturity AssessmentSia Partners8 dimensions, 50 assessment points. Most granular consultancy tool analysed. Informed dimension reduction rationale.sia-partners.com ↗OWASP (2025)AI Maturity Assessment v1.0OWASP Foundation5-domain security-focused model. Contributed governance and compliance dimension design.owasp.org ↗DMATDigital Maturity Assessment ToolEU Digital Maturity AssessmentGovernment/academic. 6 dimensions, 30 subdimensions. Contributed to digital foundation dimension scope.dmat.2021.2035.eu ↗
TOEH Framework (2025)SME-Specific AI Maturity AssessmentScienceDirect4-dimension model specifically for SMEs. Validated decision to target mid-market with a simplified instrument.
Digital Catapult (2024)AI Readiness AssessmentDigital Catapult (UK)3-dimension government tool. Informed speed-vs-depth trade-off decisions.

5 dimensions derived from cross-framework frequency analysis of 12+ established AI maturity models. Strategy & Leadership appears in all 12. Dimensions weighted using practitioner judgement informed by Klement et al. (2024) expert-derived weights.

Research & Industry Benchmarks

These sources back the diagnostic content — dimension narratives, consequence statements, recommendations, and forward-looking sections. Every interpretive claim on the results page traces to one of these.

McKinsey QuantumBlack (2025)The State of AI in 2025McKinsey & CompanyPrimary source for leadership, strategy, and workforce findings. Key data: 6% AI high performers, 3x leadership engagement differentiator, workflow redesign as key success factor.mckinsey.com ↗McKinsey (2025)Superagency in the WorkplaceMcKinsey & CompanyWorkforce AI adoption data. Key finding: approximately 50% of employees say formal training is the single best way to increase AI adoption.mckinsey.com ↗BCG (2025)AI at Work: Momentum Builds but Gaps RemainBoston Consulting Group“Silicon ceiling” finding: only half of frontline employees regularly use AI tools even in AI-adopting organisations.bcg.com ↗Gartner (2024)Generative AI Deployment SurveyGartnerKey finding: only 48% of AI projects make it to production. Data quality inconsistency cited as primary scaling barrier.gartner.com ↗RAND Corporation (2024)Root Causes of Failure for Artificial Intelligence ProjectsRAND CorporationKey finding: over 80% of AI projects fail — twice the failure rate of non-AI technology projects.rand.org ↗Informatica (2025)CDO Insights 2025InformaticaData readiness identified as #1 AI obstacle (43% of respondents). Primary source for Digital Foundation low-band narrative.informatica.com ↗Randstad (2024)AI Skills Gap WidensRandstad12,429 respondents across 15 markets. Key finding: 75% of companies adopting AI, but only 35% of workers trained.randstad.com ↗World Economic Forum (2025)Future of Jobs Report 2025World Economic ForumKey finding: 63% of employers identify skills gaps as primary barrier to business transformation.weforum.org ↗EU AI Act (2024)Article 99 — PenaltiesEuropean Parliament / CouncilPenalty framework: up to EUR 35M or 7% global turnover (prohibited), EUR 15M or 3% (high-risk), EUR 7.5M or 1% (misleading information). Effective February 2025.artificialintelligenceact.eu ↗DLA Piper (2025)Latest Wave of Obligations Under the EU AI ActDLA PiperCompliance timeline analysis. High-risk system obligations effective August 2026.dlapiper.com ↗
S&P Global (2025)Enterprise AI Survey 2025S&P Global Market IntelligenceKey finding: 42% of companies abandoned most AI initiatives in 2025 (up from 17% in 2024). Paywalled; verified via WorkOS, ComplexDiscovery, Quest Technologies.
LegalNodes (2026)EU AI Act 2026 UpdatesLegalNodesCompliance requirements and business risks analysis.legalnodes.com ↗SIG (2026)EU AI Act SummarySoftware Improvement GroupPenalty tier breakdown and compliance timeline.softwareimprovementgroup.com ↗ISO/IEC 42001 (2023)AI Management System StandardISO/IECInternational standard for establishing, implementing, and maintaining AI management systems. Directly relevant to Governance & Compliance dimension — operationalises the governance frameworks the assessment measures.iso.org ↗

All sources last verified on 19 February 2026.