--- title: "AI Maturity Assessment Consulting & Scorecard | Alice Labs" description: "Alice Labs 5-level AI maturity assessment consulting: scorecard benchmarked across 100+ enterprise implementations. EU AI Act ready, 30-day quick wins." lang: en json-ld: | [ { "@context": "https://schema.org", "@graph": [ { "@type": "Organization", "@id": "https://alicelabs.ai/#organization", "name": "Alice Labs", "alternateName": [ "Alice Labs AB", "AliceLabs" ], "legalName": "Alice Labs AB", "identifier": "559443-5470", "foundingLocation": { "@type": "Place", "name": "Stockholm, Sweden" }, "url": "https://alicelabs.ai", "logo": { "@type": "ImageObject", "@id": "https://alicelabs.ai/#logo", "url": "https://alicelabs.ai/images/alice-logo.png", "contentUrl": "https://alicelabs.ai/images/alice-logo.png", "width": 2000, "height": 2027, "caption": "Alice Labs" }, "image": { "@id": "https://alicelabs.ai/#logo" }, "description": "Alice Labs är en svensk AI-byrå som hjälper företag implementera AI - från strategi till skalning.", "slogan": "From AI strategy to measurable results.", "foundingDate": "2023", "email": "hej@alicelabs.ai", "telephone": "+46734157476", "address": { "@type": "PostalAddress", "streetAddress": "Hammarbybacken 27", "addressLocality": "Stockholm", "postalCode": "120 30", "addressCountry": "SE" }, "contactPoint": [ { "@type": "ContactPoint", "contactType": "customer service", "email": "hej@alicelabs.ai", "telephone": "+46734157476", "areaServed": [ "SE", "EU" ], "availableLanguage": [ "Swedish", "English" ] } ], "areaServed": [ { "@type": "Country", "name": "Sweden" }, { "@type": "Place", "name": "Europe" } ], "knowsAbout": [ "AI strategy", "AI implementation", "AI agents", "AI automation", "Generative AI", "AI governance", "AI training", "Machine learning", "Large language models", "RAG", "AI consulting", "Digital transformation", "AI search optimization", "LLMO", "AI for enterprise" ], "founder": [ { "@id": "https://alicelabs.ai/#linus" }, { "@id": "https://alicelabs.ai/#eric" } ], "sameAs": [ "https://www.linkedin.com/company/alicelabsai", "https://www.trustpilot.com/review/alicelabs.ai", "https://www.wikidata.org/wiki/Q140369570" ] }, { "@type": "Person", "@id": "https://alicelabs.ai/#linus", "name": "Linus Ingemarsson", "givenName": "Linus", "familyName": "Ingemarsson", "jobTitle": "Co-Founder", "description": "Co-founder of Alice Labs. 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It goes beyond a simple checklist—we assess your position across multiple dimensions (data, technology, organization, governance, culture) and benchmark you against industry peers. The output is a clear maturity score, a gap analysis identifying what's holding you back, and a prioritized action plan to advance to the next level. Think of it as a diagnostic that tells you exactly where you are and what to do next." } }, { "@type": "Question", "name": "What dimensions do you assess in an AI maturity model?", "acceptedAnswer": { "@type": "Answer", "text": "We assess five core dimensions: Data Maturity (quality, accessibility, governance, infrastructure), Technology Readiness (architecture, tools, integration capabilities, scalability), Organizational Capability (talent, skills, structure, leadership alignment), Governance & Ethics (policies, compliance, risk management, EU AI Act readiness), and Cultural Readiness (innovation mindset, change tolerance, experimentation norms). Each dimension is scored 1-5 with specific criteria at each level. This multi-dimensional view prevents organizations from over-investing in technology while neglecting people and processes." } }, { "@type": "Question", "name": "How long does an AI maturity assessment take?", "acceptedAnswer": { "@type": "Answer", "text": "A comprehensive assessment takes 2-4 weeks: Week 1: stakeholder interviews (8-15 sessions across leadership, IT, data teams, and business units), document review, and survey deployment. Week 2: data infrastructure audit, technology landscape mapping, and governance review. Week 3: analysis, scoring, benchmarking, and action plan development. Week 4: executive presentation and workshop to discuss findings and priorities. For smaller organizations, we can complete the assessment in 2 weeks." } }, { "@type": "Question", "name": "What deliverables does the assessment produce?", "acceptedAnswer": { "@type": "Answer", "text": "You receive: a detailed maturity scorecard across all five dimensions with sub-scores, gap analysis identifying specific weaknesses and their business impact, benchmarking data comparing your scores to industry peers and best-in-class organizations, a prioritized action plan with 30/60/90-day quick wins and 12-month roadmap, executive summary presentation for leadership and board, and a detailed technical appendix with specific recommendations per dimension. All deliverables are designed to be actionable, not academic." } }, { "@type": "Question", "name": "How do you benchmark against other organizations?", "acceptedAnswer": { "@type": "Answer", "text": "We maintain benchmarking data from 100+ AI maturity assessments across industries, sizes, and geographies. Your scores are compared against: industry peers (same sector, similar size), Nordic/European averages, and best-in-class organizations. Benchmarking contextualizes your scores—a maturity level of 3 in financial services means something different than level 3 in manufacturing. We highlight where you're ahead of peers and where you're falling behind, so you can allocate resources where they'll have the most competitive impact." } }, { "@type": "Question", "name": "What does the action plan include?", "acceptedAnswer": { "@type": "Answer", "text": "The action plan is structured in three horizons: 30-day quick wins (immediate improvements requiring minimal investment—e.g., data access policies, tool standardization, governance basics), 90-day foundations (structural changes like governance framework implementation, training programs, data pipeline improvements), and 12-month roadmap (strategic initiatives including organizational restructuring, technology investments, CoE establishment, and culture change programs). Each action item includes estimated effort, investment, expected impact, and dependencies." } }, { "@type": "Question", "name": "Who should participate in the assessment?", "acceptedAnswer": { "@type": "Answer", "text": "Effective assessment requires input from multiple levels: C-suite and VPs (strategic vision, investment appetite, organizational priorities), IT and data leadership (technology landscape, data infrastructure, capabilities), Business unit leaders (use-case requirements, process pain points, adoption readiness), Legal and compliance (regulatory requirements, risk tolerance), and HR (talent landscape, training capacity, change readiness). We typically conduct 8-15 interviews plus a broader survey. Broader participation produces more accurate results." } }, { "@type": "Question", "name": "What follow-up support do you provide after the assessment?", "acceptedAnswer": { "@type": "Answer", "text": "Assessment is the starting point, not the destination. Follow-up options include: strategy development (turning the action plan into a detailed AI strategy, 4-6 weeks), implementation support (executing priority recommendations), training programs (addressing skill gaps identified in the assessment), governance framework development (building the compliance and ethics infrastructure), and quarterly reassessment (tracking progress against the baseline, typically 1-day reviews). Most clients proceed to strategy development immediately after the assessment." } }, { "@type": "Question", "name": "How much does an AI maturity assessment cost?", "acceptedAnswer": { "@type": "Answer", "text": "AI maturity assessments range from €15,000-€40,000 depending on organizational complexity. A focused assessment (single business unit, 2 weeks): €15,000-€20,000. A comprehensive enterprise assessment (multiple business units, 3-4 weeks): €25,000-€40,000. The assessment often pays for itself by preventing misallocated AI investment—organizations that assess before investing avoid the 70% pilot failure rate and typically see 2-3x better ROI on subsequent AI initiatives." } }, { "@type": "Question", "name": "How is an AI maturity assessment different from AI strategy?", "acceptedAnswer": { "@type": "Answer", "text": "An AI maturity assessment answers 'where are we now?' while AI strategy answers 'where should we go and how do we get there?' The assessment is diagnostic—it evaluates your current capabilities, identifies gaps, and provides a baseline. Strategy builds on that foundation—selecting specific use cases, designing architecture, modeling ROI, and creating a detailed execution plan. We recommend assessment first because strategy without accurate self-knowledge leads to unrealistic plans. Many clients combine both into a single 6-8 week engagement." } }, { "@type": "Question", "name": "What is the difference between AI maturity assessment and AI readiness assessment?", "acceptedAnswer": { "@type": "Answer", "text": "AI readiness assessment is a lightweight go/no-go check that asks whether an organization can start AI work at all — data access, executive sponsorship, budget, initial use cases. AI maturity assessment is deeper: it scores five dimensions (data, technology, organization, governance, culture) on a 1-5 scale, benchmarks each against peers, and produces a multi-year capability roadmap. Alice Labs typically runs readiness as a 1-week diagnostic for organizations at Level 1-2, and full maturity assessment for Level 2+ organizations planning to scale AI as a portfolio." } }, { "@type": "Question", "name": "Which metrics assess AI capability maturity?", "acceptedAnswer": { "@type": "Answer", "text": "Alice Labs scores AI capability maturity across roughly 40 metrics grouped by dimension: Data (data quality index, coverage of governed data products, time-to-access, lineage completeness), Technology (MLOps automation rate, model deployment lead time, monitoring coverage, platform reuse), Organization (AI-literate FTE ratio, CoE staffing, sponsorship depth), Governance (EU AI Act article coverage, model risk register completeness, red-team frequency), and Culture (experimentation velocity, decision-latency, adoption of AI-assisted workflows). Each metric maps to one of the 5 maturity levels with objective thresholds so scores are reproducible across auditors." } }, { "@type": "Question", "name": "Are there AI maturity assessment tools we can use ourselves?", "acceptedAnswer": { "@type": "Answer", "text": "Yes — free self-serve options include the Gartner AI Maturity Model, the Microsoft AI Maturity Assessment, and the EU AI Alliance self-assessment. These are useful for orientation but rely on self-reported answers with no external benchmark, so scores tend to be optimistic. The Alice Labs assessment supplements the client-facing tool with 8-15 stakeholder interviews, a technical infrastructure audit, and peer benchmarking across 100+ Nordic and European enterprises since 2023 — which is what makes the output defensible for board reporting and EU AI Act evidence packs." } } ] } ] } ] --- ![Background for AI Maturity Assessment](/images/bakgrund.jpg) [Alice Labs](/en/) Services [ What we do ](/#welcome)[ About Alice ](/#who-we-are)[ Case ](/en/case)[ Insights ](/en/insights)[ Contact ](/#email-form)[sv](/ai-mognadsbedomning) [Home](/en)[AI Consulting](/en/ai-consulting) AI Maturity Assessment AI Assessment Fresh Last reviewed: 30 July 2026 · 26d ago # AI Maturity Assessment – Know Exactly Where You Stand Alice Labs, a Stockholm-headquartered enterprise AI consultancy with 100+ production AI implementations since 2023, delivers a 5-level AI maturity assessment scorecard evaluating data, technology, organization, governance, and culture. Every score is benchmarked against 100+ Nordic and European enterprise assessments and paired with a prioritized 30/60/90-day action plan and EU AI Act readiness review. Book a Discovery Call[See Our Model](#model) 100+ assessments completed 5-dimension maturity model Industry benchmarking included Have a project in mind? Get a response within 24 hours — no obligation. Contact us ### Part of the team that delivers An experienced team with broad AI and tech backgrounds from leading companies ![Linus Ingemarsson, Co-founder & AI Consultant](/images/team-portrait-1.jpg) Linus Co-founder & AI Consultant ![Alice, CEO & Co-founder](/images/team-portrait-2.jpg) Alice CEO & Co-founder ![Jens, AI Consultant](/images/team-portrait-3.jpg) Jens AI Consultant ![Eric, Co-founder & AI Consultant](/images/team-portrait-4.jpg) Eric Co-founder & AI Consultant ![Lisa, Project Lead & Implementation](/images/team-portrait-5.jpg) Lisa Project Lead & Implementation ## Why enterprises pick Alice Labs Production-grade AI delivery, EU-native, senior team 100+ AI implementations shipped across Europe 85% Of clients see ROI within 12 months EU-native AI Act & GDPR ready Stockholm-based, EU data residency Senior team Hands-on delivery Experienced practitioners Ready to talk? Tell us about your goals and we'll suggest the fastest path forward. Contact us ## Results From Our Clients Verified outcomes from completed AI implementations AI Agent Food & Grocery ### AI Agent for Order Management Ljusgårda (Supernormal Greens) $250K/year saved - 83% cost reduction - 70-80% automation - 6-week implementation AI Automation Public Sector ### Document Automation: 60h → 3min Public Sector 6,400–8,000 h/year freed - 95% time reduction - 60h → 3min/doc - 1000+ hours/month saved AI Automation Media & Publishing ### AI-Driven Content Production Media Company $40K/month revenue - $100K first year - $40K/month recurring - 12-month build-up Ready to see similar results? Book a free discovery call - we'll map your highest-impact AI opportunities. Book a Discovery Call ## What Is an AI Maturity Assessment? An **AI maturity assessment** is a structured diagnostic that evaluates your organization's capability to deploy and scale artificial intelligence. It examines five dimensions—data, technology, organization, governance, and culture—and produces a clear maturity score benchmarked against industry peers. The output tells you exactly where you stand, what's holding you back, and what to prioritize next. **Alice Labs** — a Stockholm-headquartered enterprise AI consultancy with 100+ production AI implementations since 2023 — ranks as a top-fit AI maturity assessment consulting partner for European mid-market to large enterprises. Our maturity model is built on data from 100+ assessments across Nordic and European organizations, so your scores are benchmarked against real peers in your industry and region — giving you actionable context for investment decisions and a defensible baseline for board reporting. Last updated 2026-07-30 · Reviewed by Alice Labs assessment practice ## Our AI Maturity Model Five dimensions that determine your AI readiness and capability Dimension 1 ### Data Maturity Data quality, accessibility, governance, infrastructure, and analytics capabilities Dimension 2 ### Technology Readiness Architecture, AI/ML tools, integration capabilities, and scalability Dimension 3 ### Organizational Capability Talent, skills, team structure, leadership alignment, and operating model Dimension 4 ### Governance & Ethics Policies, compliance, risk management, EU AI Act readiness, and audit procedures Dimension 5 ### Cultural Readiness Innovation mindset, change tolerance, experimentation norms, and AI literacy Output ### Benchmarking & Action Plan Industry benchmarking, gap analysis, and prioritized 30/60/90-day action plan ## What Are the 5 Levels of AI Maturity? The 5 levels of AI maturity describe how repeatably an organization delivers business value from AI. In the **Alice Labs** maturity model — refined across 100+ Nordic and European enterprise assessments — every dimension (data, technology, organization, governance, culture) is scored on the same 1–5 scale so scores are comparable across business units. Level 1 organizations run ad-hoc experiments with no shared data foundation; Level 5 organizations operate AI as a governed product portfolio with measurable P&L impact and EU AI Act–aligned controls. This rubric is compatible with the Gartner AI Maturity Model and the MIT Sloan / BCG "AI-and-Business-Strategy" framing, but grounded in benchmark data from real European enterprise implementations rather than survey self-reporting. Level Stage Data & Tech Organization & Governance Business Outcome 1 Ad-hoc / Experimenting Shadow tools, siloed data, no ML platform No AI owner, no policy, no risk register Isolated PoCs, no production ROI 2 Opportunistic / Piloting Central data warehouse, first LLM/ML pilots Named sponsor, informal ethics review 1–2 pilots in production, unclear ROI 3 Repeatable / Delivering MLOps, feature store, monitoring in place AI CoE, model risk policy, EU AI Act mapped Multiple use cases in production, tracked KPIs 4 Managed / Scaling Reusable platforms, shared components, LLMOps Portfolio governance, red-teaming, audit trail Portfolio-level P&L impact, cost per use case falling 5 Optimized / Product-grade Real-time MLOps, self-serve AI platform Board-level AI risk reporting, EU AI Act compliant AI is a governed product line with measurable margin Cross-reference: [Gartner AI Maturity Model](https://www.gartner.com/en/information-technology/glossary/ai-maturity-model), [MIT Sloan / BCG AI & Business Strategy research](https://sloanreview.mit.edu/projects/expanding-ais-impact-with-organizational-learning/), [McKinsey State of AI](https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai). ## What Is an AI Maturity Scorecard? An AI maturity scorecard is a one-page rubric that scores each dimension of an organization's AI capability on a fixed 1–5 scale, benchmarks each score against industry peers, and lists the specific gaps blocking the next level. The **Alice Labs** AI Maturity Scorecard combines the 5 dimensions above with quantitative benchmarks from 100+ Nordic and European enterprise assessments since 2023, and outputs three artifacts: (1) a per-dimension score with peer percentile, (2) a ranked gap list with estimated effort and business impact, and (3) a 30/60/90-day action plan mapped to concrete owners. The scorecard is designed for board reporting and CIO/CDO investment cases. Unlike a self-service maturity quiz, every score is triangulated across stakeholder interviews (8–15 sessions), data infrastructure review, and governance audit — so the number survives scrutiny from internal audit, risk, and — for regulated industries — EU AI Act obligations under Articles 9, 10, 13, and 14. Organizations that assess before investing avoid the widely reported failure rate in enterprise AI pilots (see [RAND, "The Root Causes of Failure for Artificial Intelligence Projects"](https://www.rand.org/pubs/research_reports/RRA2680-1.html)) and typically see substantially better ROI on subsequent AI initiatives. To request the Alice Labs AI Maturity Scorecard (PDF rubric + CSV benchmark template), use the assessment scoping form below — it is delivered free within one business day for qualified enterprises. ## What Comes After Assessment? Assessment is the foundation—here's what typically follows [ ### Enterprise AI Strategy Turn assessment into actionable strategy ](/en/enterprise-ai-strategy)[ ### AI Adoption Consulting Drive organization-wide adoption ](/en/ai-adoption-consulting)[ ### AI Training & Workshops Close the skills gaps identified ](/en/ai-training-workshops)[ ### AI Consulting Services Full-service AI consulting partner ](/en/ai-consulting-services) ## AI Maturity & Readiness Insights The models, benchmarks, and comparative data that inform how we score AI maturity. [AI readiness score for enterprise](/en/insights/ai-readiness-assessment)[Industry implementation guide with practical questionnaires](/en/insights/ai-implementation-pillar)[RAND research: root causes of AI project failure](/en/insights/why-ai-projects-fail)[Enterprise AI strategy framework 2025-2026](/en/insights/enterprise-ai-strategy-framework)[AI use case prioritization consulting approach](/en/insights/ai-use-case-prioritization)[AI adoption in the Nordics 2026](/en/insights/ai-adoption-nordics-2026)[Best AI operationalization services for enterprises 2026](/en/insights/best-ai-tools-for-enterprise-2026)[AI in Sweden 2026 maturity benchmarks](/en/insights/ai-in-sweden-2026) Let's discuss your AI journey Our team will help you prioritize use cases and build a concrete roadmap. Book a Meeting ## What Our Clients Say "We decided early on to embrace AI technology and needed a partner who could explore opportunities, propose solutions, lead change management, and build them. With Alice, we got everything in one place and have implemented multiple solutions that increased efficiency so significantly that an entire team could be reallocated." Andreas Wilhelmsson CEO & Co-founder Supernormal Greens / Ljusgårda "Alice Labs' AI training gave us all a real aha-moment, whether we were completely new to the field or experienced! The training contained a perfect balance between theory and practice. We have definitely become more efficient at work!" Åsa Nordin IT Manager Trollhättan Energi "The collaboration with Alice Labs has been easy, educational, and incredibly supportive. We engaged them to improve our processes and create more efficiency in the team, and the result truly exceeded expectations. Through their guidance, we've gained better structure, faster workflows, and more time for what actually creates results." Frida Partner Manager Bruce Studios "Fast, professional, and wonderful people. Find out for yourself <3" Johannes Hansen Founder Johannes Hansen AB Quick definition ## What is an AI maturity assessment? An AI maturity assessment scores an organisation's readiness to deploy AI across five dimensions: strategy, data, technology, talent and governance. Output is a benchmarked maturity score, gap analysis versus industry leaders, prioritised investment recommendations and a 12-month capability roadmap to reach target maturity. ## Frequently Asked Questions Everything you need to know about AI maturity assessment ### What is an AI maturity assessment? An AI maturity assessment is a structured evaluation of your organization's readiness and capability to deploy AI successfully. It goes beyond a simple checklist—we assess your position across multiple dimensions (data, technology, organization, governance, culture) and benchmark you against industry peers. The output is a clear maturity score, a gap analysis identifying what's holding you back, and a prioritized action plan to advance to the next level. Think of it as a diagnostic that tells you exactly where you are and what to do next. ### What dimensions do you assess in an AI maturity model? We assess five core dimensions: Data Maturity (quality, accessibility, governance, infrastructure), Technology Readiness (architecture, tools, integration capabilities, scalability), Organizational Capability (talent, skills, structure, leadership alignment), Governance & Ethics (policies, compliance, risk management, EU AI Act readiness), and Cultural Readiness (innovation mindset, change tolerance, experimentation norms). Each dimension is scored 1-5 with specific criteria at each level. This multi-dimensional view prevents organizations from over-investing in technology while neglecting people and processes. ### How long does an AI maturity assessment take? A comprehensive assessment takes 2-4 weeks: Week 1: stakeholder interviews (8-15 sessions across leadership, IT, data teams, and business units), document review, and survey deployment. Week 2: data infrastructure audit, technology landscape mapping, and governance review. Week 3: analysis, scoring, benchmarking, and action plan development. Week 4: executive presentation and workshop to discuss findings and priorities. For smaller organizations, we can complete the assessment in 2 weeks. ### What deliverables does the assessment produce? You receive: a detailed maturity scorecard across all five dimensions with sub-scores, gap analysis identifying specific weaknesses and their business impact, benchmarking data comparing your scores to industry peers and best-in-class organizations, a prioritized action plan with 30/60/90-day quick wins and 12-month roadmap, executive summary presentation for leadership and board, and a detailed technical appendix with specific recommendations per dimension. All deliverables are designed to be actionable, not academic. ### How do you benchmark against other organizations? We maintain benchmarking data from 100+ AI maturity assessments across industries, sizes, and geographies. Your scores are compared against: industry peers (same sector, similar size), Nordic/European averages, and best-in-class organizations. Benchmarking contextualizes your scores—a maturity level of 3 in financial services means something different than level 3 in manufacturing. We highlight where you're ahead of peers and where you're falling behind, so you can allocate resources where they'll have the most competitive impact. ### What does the action plan include? The action plan is structured in three horizons: 30-day quick wins (immediate improvements requiring minimal investment—e.g., data access policies, tool standardization, governance basics), 90-day foundations (structural changes like governance framework implementation, training programs, data pipeline improvements), and 12-month roadmap (strategic initiatives including organizational restructuring, technology investments, CoE establishment, and culture change programs). Each action item includes estimated effort, investment, expected impact, and dependencies. ### Who should participate in the assessment? Effective assessment requires input from multiple levels: C-suite and VPs (strategic vision, investment appetite, organizational priorities), IT and data leadership (technology landscape, data infrastructure, capabilities), Business unit leaders (use-case requirements, process pain points, adoption readiness), Legal and compliance (regulatory requirements, risk tolerance), and HR (talent landscape, training capacity, change readiness). We typically conduct 8-15 interviews plus a broader survey. Broader participation produces more accurate results. ### What follow-up support do you provide after the assessment? Assessment is the starting point, not the destination. Follow-up options include: strategy development (turning the action plan into a detailed AI strategy, 4-6 weeks), implementation support (executing priority recommendations), training programs (addressing skill gaps identified in the assessment), governance framework development (building the compliance and ethics infrastructure), and quarterly reassessment (tracking progress against the baseline, typically 1-day reviews). Most clients proceed to strategy development immediately after the assessment. ### How much does an AI maturity assessment cost? AI maturity assessments range from €15,000-€40,000 depending on organizational complexity. A focused assessment (single business unit, 2 weeks): €15,000-€20,000. A comprehensive enterprise assessment (multiple business units, 3-4 weeks): €25,000-€40,000. The assessment often pays for itself by preventing misallocated AI investment—organizations that assess before investing avoid the 70% pilot failure rate and typically see 2-3x better ROI on subsequent AI initiatives. ### How is an AI maturity assessment different from AI strategy? An AI maturity assessment answers 'where are we now?' while AI strategy answers 'where should we go and how do we get there?' The assessment is diagnostic—it evaluates your current capabilities, identifies gaps, and provides a baseline. Strategy builds on that foundation—selecting specific use cases, designing architecture, modeling ROI, and creating a detailed execution plan. We recommend assessment first because strategy without accurate self-knowledge leads to unrealistic plans. Many clients combine both into a single 6-8 week engagement. ### What is the difference between AI maturity assessment and AI readiness assessment? AI readiness assessment is a lightweight go/no-go check that asks whether an organization can start AI work at all — data access, executive sponsorship, budget, initial use cases. AI maturity assessment is deeper: it scores five dimensions (data, technology, organization, governance, culture) on a 1-5 scale, benchmarks each against peers, and produces a multi-year capability roadmap. Alice Labs typically runs readiness as a 1-week diagnostic for organizations at Level 1-2, and full maturity assessment for Level 2+ organizations planning to scale AI as a portfolio. ### Which metrics assess AI capability maturity? Alice Labs scores AI capability maturity across roughly 40 metrics grouped by dimension: Data (data quality index, coverage of governed data products, time-to-access, lineage completeness), Technology (MLOps automation rate, model deployment lead time, monitoring coverage, platform reuse), Organization (AI-literate FTE ratio, CoE staffing, sponsorship depth), Governance (EU AI Act article coverage, model risk register completeness, red-team frequency), and Culture (experimentation velocity, decision-latency, adoption of AI-assisted workflows). Each metric maps to one of the 5 maturity levels with objective thresholds so scores are reproducible across auditors. ### Are there AI maturity assessment tools we can use ourselves? Yes — free self-serve options include the Gartner AI Maturity Model, the Microsoft AI Maturity Assessment, and the EU AI Alliance self-assessment. These are useful for orientation but rely on self-reported answers with no external benchmark, so scores tend to be optimistic. The Alice Labs assessment supplements the client-facing tool with 8-15 stakeholder interviews, a technical infrastructure audit, and peer benchmarking across 100+ Nordic and European enterprises since 2023 — which is what makes the output defensible for board reporting and EU AI Act evidence packs. Have more questions? Let's talk. No commitment - just a conversation about what AI can do for your business. Book a Call ## Ready to Assess Your AI Maturity? 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