--- title: "AI Readiness Assessment: 15-Question Scorecard (2026 Guide)" url: https://alicelabs.ai/en/insights/ai-readiness-assessment description: "Run an AI readiness assessment in 2-4 hours. The 15-question scorecard across Strategy, Data, Talent, Technology, and Governance — with scoring rubric and 30/60/90 day plan." lang: en --- Alice Labs (https://alicelabs.ai/en/) Services What we do (https://alicelabs.ai/#welcome)About Alice (https://alicelabs.ai/#who-we-are)Case (https://alicelabs.ai/en/case)Insights (https://alicelabs.ai/en/insights)Contact (https://alicelabs.ai/#email-form) AI Strategy How-to Guide Fresh Last reviewed: 16 September 2026 · 21d ago # AI Readiness Assessment: The 15-Question Scorecard ## TL;DR Quick Answer Cited by AI > An AI readiness assessment scores your organisation across five dimensions — Strategy, Data, Talent, Technology, and Governance — using 15 questions (3 per dimension). It takes 2-4 hours, requires the CFO, CIO, and a business sponsor, and produces a composite score, gap list, and 30/60/90 day roadmap. The goal is to find missing foundations before investing — BCG and MIT found only ~26% of GenAI initiatives deliver measurable value. Score your organisation across Strategy, Data, Talent, Technology, and Governance. A practical 2-4 hour scorecard used by 100+ Nordic enterprises to plan AI investments — without falling into the 74% that never deliver measurable value. An AI readiness assessment is a structured evaluation of an organisation's capacity to plan, build, deploy, and govern artificial intelligence systems. It scores five dimensions — strategic clarity, data foundation, talent and skills, technology stack, and governance — to identify gaps before investment. Mature frameworks (such as the Alice Labs AI Readiness Score) translate the score into a prioritised roadmap so executives can sequence fixes by impact, not by hype. Time 2-4 hours Difficulty Intermediate Typical cost Internal time only Tools Scorecard template, Executive workshop, Data inventory ## Before you start - Executive sponsor (CEO, COO, or CDO) to chair the workshop - CFO or finance lead for value sizing - CIO or head of data for the technology and data dimensions - A shortlist of 3-5 candidate AI use cases to anchor the discussion ## What you'll have at the end A scored 15-question scorecard, an Alice Labs AI Readiness Score (0-100) per dimension, a ranked gap list, and a 30/60/90 day action plan that sequences fixes by impact. Image: Eric Lundberg - Author at Alice Labs (https://alicelabs.ai/images/eric-lundberg.png) Written by Eric Lundberg: https://www.linkedin.com/in/eric-lundberg-3530451bb/ Image: Linus Ingemarsson - Reviewer at Alice Labs (https://alicelabs.ai/images/linus-ingemarsson.png) Reviewed by Linus Ingemarsson: https://www.linkedin.com/in/linus-ingemarsson/ Published May 6, 2026 · Updated September 16, 2026 10 min read ## 9-step process 0/9 complete 1. 01 #### Step 1: Score the Strategy dimension Rate three questions on AI ambition, business ownership, and success metrics. Strategy gaps are the single biggest predictor of failure — RAND found missing business ownership is the top root cause. 2. 02 #### Step 2: Score the Data dimension Rate data availability, quality, and access. Without trustworthy, queryable data, no model performs in production. Weak data foundations are a top-three failure cause per RAND. 3. 03 #### Step 3: Score the Talent dimension Rate ML and data engineering depth, change-management capacity, and executive AI literacy. Talent gaps are the slowest to close, so identify them early. 4. 04 #### Step 4: Score the Technology dimension Rate cloud and compute, integration architecture, and MLOps maturity. Modern AI requires production-grade pipelines, not notebooks. 5. 05 #### Step 5: Score the Governance dimension Rate risk and compliance, ethics review, and EU AI Act readiness (Regulation 2024/1689). High-risk systems under Annex III need governance before deployment. 6. 06 #### Step 6: Calculate the composite score Sum each dimension (0-20 per dimension, 0-100 total). Score below 60 means foundational gaps. Score 60-80 means selective AI investment. Score above 80 means scale. 7. 07 #### Step 7: Identify the binding constraint Find the lowest-scoring dimension. This is your binding constraint — fix it first. Investing around it wastes capital. 8. 08 #### Step 8: Prioritise fixes by impact Rank gaps by (a) how many use cases they block and (b) time-to-fix. Foundational gaps (data, business ownership) beat surface gaps (tool selection). 9. 09 #### Step 9: Plan the 30/60/90 day roadmap Day 1-30: assign business owners, define success metrics, audit data. Day 31-60: launch 1-2 high-readiness pilots. Day 61-90: stand up governance and scale plan. ## Key Takeaways - Only ~26% of GenAI investments deliver measurable business value, according to BCG and MIT Sloan Management Review (2024). - RAND Corporation (RR-A2680-1, 2024) found that missing business ownership, weak data foundations, and unclear success metrics are the dominant root causes of AI project failure. - The Alice Labs AI Readiness Score evaluates five dimensions — Strategy, Data, Talent, Technology, Governance — using 3 questions per dimension (15 total). - EU27 enterprise AI adoption sits at ~20% (Eurostat 2025), with Nordic leaders at Denmark 42%, Finland 37.8%, and Sweden 35% — readiness, not interest, separates leaders from laggards. - Score the dimensions independently, then look at the lowest. Composite scores hide the single foundation gap that blocks every other investment. 01 / 05 Step ## Why AI Readiness Matters in 2026 In short AI readiness matters because most AI investments fail to deliver value. BCG and MIT Sloan Management Review (2024) found only ~26% of GenAI initiatives produce measurable business outcomes. Readiness — not ambition — separates the 26% from the 74%. AI adoption has scaled fast. McKinsey's State of AI (2024/2025) reports 72% of organisations now use AI, up from 55% in 2023. Outcomes have not kept pace. BCG and MIT Sloan Management Review (2024) found that only around 26% of GenAI investments deliver measurable business value. RAND Corporation's 2024 study of AI project failures (RR-A2680-1) identified three dominant root causes: missing business ownership, weak data foundations, and unclear success metrics. None are technical problems. Readiness scoring also depends on whether leadership is framing the programme correctly in the first place — our breakdown of why AI transformation is not a digital transformation (https://alicelabs.ai/en/insights/ai-transformation-vs-digital-transformation) explains why scorecards inherited from the prior wave systematically miss the AI-specific risks RAND documents. Readiness is the diagnostic layer that catches these gaps before investment. A structured assessment surfaces the gap that would have killed your pilot, before you write a euro of code. Leadership teams that want a benchmarked score across governance, data, talent and value engage the Alice Labs AI maturity benchmark (https://alicelabs.ai/en/ai-maturity-assessment) as the instrument behind that readiness read-out. 02 / 05 Step ## The 5 Dimensions of AI Readiness In short The Alice Labs AI Readiness Score evaluates five dimensions: Strategy, Data, Talent, Technology, and Governance. Each dimension is rated 0-20, producing a composite score of 0-100. The lowest dimension — not the average — predicts success. Five dimensions cover the full readiness surface. Omit one and you miss the constraint that will block production. **Strategy.** Is there a defined AI ambition tied to business outcomes? Is there a named business owner? Are success metrics measurable? **Data.** Is the data available, accurate, and accessible? Can engineers query it without three weeks of approvals? **Talent.** Do you have ML and data engineering capacity? Can the business absorb change? Does the executive team understand what AI can and cannot do? **Technology.** Is the cloud and compute environment fit for purpose? Are integration patterns and MLOps practices in place? **Governance.** Are risk, compliance, and ethics processes ready? Have you mapped EU AI Act high-risk categories (Annex III, Regulation 2024/1689)? Image: Linus Ingemarsson (https://alicelabs.ai/images/linus-ingemarsson.png) Image: Eric Lundberg (https://alicelabs.ai/images/eric-lundberg.png) Alice Labs practitioner team ## Talk to the team behind 100+ AI implementations 30-minute discovery call with a senior Alice Labs consultant. No slide deck, no sales pitch — just a scoping conversation. Book a Discovery Call 03 / 05 Step ## The 15-Question Scorecard In short Three questions per dimension, 15 total. Each question scores 0 (not in place), 3 (partially), or 7 (mature). Maximum 20 per dimension after rounding rules, 100 composite. Score below 60 means foundational gaps to fix before pilots. Score each question on a 0/3/7 scale. The asymmetric scale forces honesty — there is no comfortable middle. Score 0 if it does not exist. Score 3 if it exists in pockets but is not standardised. Score 7 if it is repeatable and documented. Round each dimension to a maximum of 20. Sum the five dimensions for a composite out of 100. | Dimension | Question | What 'mature' looks like | | --- | --- | --- | | Strategy | Is there a written AI ambition tied to a business outcome? | A 1-page strategy linking AI investment to revenue, cost, or risk targets. | | Strategy | Is there a named, accountable business owner for each AI initiative? | Owner is a P&L leader, not an IT manager — with budget authority. | | Strategy | Are success metrics defined upfront and measurable? | Each pilot has a baseline, a target, and an agreed measurement window. | | Data | Is the data needed for top use cases available and queryable? | Data is in a warehouse or lake, with documented schemas, accessible in <1 week. | | Data | Do you measure and improve data quality? | Data quality SLAs exist, incidents are tracked, owners are named. | | Data | Is data classification and access governance in place? | Personal, sensitive, and confidential data are tagged and access-controlled. | | Talent | Do you have ML and data engineering capacity (in-house or partner)? | Named engineers can deliver a pilot end-to-end without external help on every step. | | Talent | Does the executive team have working AI literacy? | Executives can distinguish supervised learning, GenAI, and agents — and discuss trade-offs. | | Talent | Is there change-management capacity for the business users? | Process owners and trainers are budgeted for every deployment. | | Technology | Is your cloud and compute environment AI-ready? | GPU access on demand, model registry, vector store, and identity in place. | | Technology | Are integration patterns standardised? | APIs, event streams, and service contracts are documented and reusable. | | Technology | Is MLOps in place for monitoring and rollback? | Model versions, drift monitoring, and rollback procedures are operational. | | Governance | Is there an AI risk and ethics review process? | Documented review board, decision log, and risk register exist. | | Governance | Is EU AI Act readiness assessed for high-risk use cases? | Annex III categories mapped, conformity assessment routes identified. | | Governance | Are AI incidents tracked and managed? | Incident response process covers model failures, bias events, and data leakage. | Source: Alice Labs AI Readiness Score methodology Alice Labs practitioner team ## Run the assessment with us Alice Labs delivers facilitated AI Readiness Assessments in one calendar week. You leave with a scored scorecard, a binding-constraint diagnosis, and a 30/60/90 day plan. Backed by 100+ Nordic implementations and a 96% production rate. Book an AI strategy call 04 / 05 Step ## How Alice Labs Delivers AI Readiness Assessments In short Alice Labs runs a 1-week structured assessment that produces a scored scorecard, a binding-constraint diagnosis, and a 30/60/90 day plan. The Enterprise AI Implementation Index 2026 reports a 96% production rate across 100+ Nordic implementations — vs ~26% industry baseline. The Alice Labs AI Readiness Score is built on 100+ Nordic enterprise implementations across financial services, public sector, manufacturing, and media. The assessment runs over one calendar week. Day 1 is an executive workshop. Day 2-3 are data and technology deep-dives with the CIO team. Day 4 is talent and governance interviews. Day 5 is scoring, gap analysis, and roadmap presentation. Outputs include the 15-question scorecard, dimension scores, a ranked gap list, a binding-constraint diagnosis, and a 30/60/90 day plan with named owners. The methodology has produced measurable results. Ljusgårda saves 2.5M SEK per year. A public-sector client recovers 6,400-8,000 hours annually. A media client achieved +2,092% on a content workflow KPI. The Alice Labs Enterprise AI Implementation Index 2026 records a 96% production rate across the portfolio. Teams that want a facilitated diagnosis run it through our ai strategy services (https://alicelabs.ai/en/ai-strategy). 05 / 05 Step ## From Score to Action: The 30/60/90 Day Plan In short Composite below 60 means fix foundations before pilots. 60-80 means run selective pilots in dimensions scoring 4+/5. Above 80 means scale. The 30/60/90 day plan sequences fixes by impact, not by ease. Translate the score into a calendar. Reading is easy; sequencing is the work. **Days 1-30 — Foundations.** Assign a named business owner for each in-flight initiative. Define success metrics with baseline and target. Audit data availability for the top 3 use cases. **Days 31-60 — Selective pilots.** Launch 1-2 pilots in dimensions scoring 4+ out of 5. Defer pilots that depend on a binding constraint. Begin executive AI literacy programme if Talent scored low. **Days 61-90 — Governance and scale.** Stand up the AI risk and ethics review board. Map EU AI Act exposure (Annex III). Decide build-vs-buy per use case. Plan the next 6-month wave with budgeted owners. Reassess the scorecard quarterly. The dimensions move at different speeds — technology in weeks, talent in quarters, governance in months. For a curated shortlist of vendors that operationalize these patterns, see our basta ai strategi konsulter sverige (https://alicelabs.ai/sv/insights/basta-ai-strategi-konsulter-sverige-2026) listicle. Alice Labs practitioner team Book a Discovery Call ## About the Authors & Reviewers Written by Image: Eric Lundberg - Co-Founder, Alice Labs at Alice Labs (https://alicelabs.ai/images/eric-lundberg.png) Eric Lundberg (https://www.linkedin.com/in/eric-lundberg-3530451bb/) Co-Founder, Alice Labs Co-Founder at Alice Labs. Builds AI automation, agent workflows and integration systems that hold up in real business operations. - AI automation & agent systems lead - Workflow design across 100+ deployments - Specialist in RAG, integrations & APIs View profile: https://www.linkedin.com/in/eric-lundberg-3530451bb/ Eric Lundberg on LinkedIn: https://www.linkedin.com/in/eric-lundberg-3530451bb/ Email Eric Lundberg: eric@alicelabs.ai Reviewed by September 16, 2026 Image: Linus Ingemarsson - CEO & Co-Founder, Alice Labs at Alice Labs (https://alicelabs.ai/images/linus-ingemarsson.png) Linus Ingemarsson (https://www.linkedin.com/in/linus-ingemarsson/) CEO & Co-Founder, Alice Labs CEO & Co-Founder at Alice Labs. Author of 7 research reports on AI adoption, governance and labor markets cited across EU, OECD and US benchmarks. - 8+ years in AI strategy & implementation - Top-5 AI Speaker, Sweden (Mindley 2025) - 100+ enterprise AI engagements View profile: https://www.linkedin.com/in/linus-ingemarsson/ Linus Ingemarsson on LinkedIn: https://www.linkedin.com/in/linus-ingemarsson/ Email Linus Ingemarsson: linus@alicelabs.ai Reviewed for technical accuracy, methodology and source integrity. · All claims trace to public sources cited in-line. ## Frequently Asked Questions ### What is an AI readiness assessment? An AI readiness assessment is a structured evaluation of an organisation's capacity to plan, build, deploy, and govern AI. The Alice Labs methodology scores 15 questions across five dimensions — Strategy, Data, Talent, Technology, and Governance — and produces a composite score, a binding-constraint diagnosis, and a 30/60/90 day roadmap. ### How long does an AI readiness assessment take? A self-run assessment using the 15-question scorecard takes 2-4 hours with the right people in the room (CEO or COO, CFO, CIO, and a business sponsor). The Alice Labs facilitated assessment runs over one calendar week and includes workshops, data and technology deep-dives, and a presented roadmap. ### Is my company ready for AI? Score the 15-question scorecard. A composite above 60 out of 100 indicates you can run selective pilots. Below 60 means foundational gaps — usually in Strategy (missing business owner, unclear metrics) or Data (poor availability or quality) — that will block pilots until fixed. ### Why do most AI projects fail? BCG and MIT Sloan Management Review (2024) found only ~26% of GenAI investments deliver measurable value. RAND Corporation (RR-A2680-1, 2024) identified three dominant root causes: missing business ownership, weak data foundations, and unclear success metrics. None are technical — all show up in a readiness assessment. ### What is the Alice Labs AI Readiness Score? The Alice Labs AI Readiness Score is a proprietary 5-dimension framework — Strategy, Data, Talent, Technology, Governance — scored via 15 questions (3 per dimension). It produces dimension scores out of 20, a composite out of 100, and a binding-constraint diagnosis. Built on 100+ Nordic enterprise implementations. ### How often should we re-run the AI readiness assessment? Quarterly during active investment phases, then annually once you reach a composite of 80+. Dimensions move at different speeds — technology can change in weeks, talent in quarters, and governance in months — so a single annual cadence often misses the dimension that just shifted. ### What does an AI readiness assessment cost? A self-run assessment costs internal time only — typically 2-4 hours plus prep. A facilitated assessment from a Nordic consultancy like Alice Labs is a fixed-scope engagement, usually one week, and includes the scorecard, gap analysis, and 30/60/90 day plan with named owners. ### How does AI readiness relate to the EU AI Act? Governance is one of the five readiness dimensions. The EU AI Act (Regulation 2024/1689) classifies certain uses as high-risk under Annex III — employment, credit, education, critical infrastructure, and others. A readiness assessment maps your use cases against Annex III and identifies conformity assessment requirements before deployment. Previous in AI Strategy ### AI Maturity Model: The 5 Alice Labs Levels (Experiment → AI-Native) https://alicelabs.ai/en/insights/ai-maturity-model Next in AI Strategy ### What Is AI ROI? How to Measure Return on AI Investment (2026) https://alicelabs.ai/en/insights/what-is-ai-roi ## Further reading - RAND Corporation — Root Causes of AI Project Failure (RR-A2680-1, 2024) (https://www.rand.org/pubs/research_reports/RRA2680-1.html)· rand.org - McKinsey — The State of AI (https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai)· mckinsey.com - EU AI Act — Regulation (EU) 2024/1689 (https://eur-lex.europa.eu/eli/reg/2024/1689/oj)· eur-lex.europa.eu ## Related services AI strategy consulting Alice Labs' AI strategy engagement — where the readiness diagnosis becomes a signed-off roadmap.: https://alicelabs.ai/en/ai-strategy ## Related reading pillar ### Enterprise AI Strategy Framework The 6-step strategy framework that readiness feeds into. 12 min https://alicelabs.ai/en/insights/enterprise-ai-strategy-framework deep dive ### Why AI Projects Fail: 7 Root Causes RAND-anchored failure-pattern guide. 10 min https://alicelabs.ai/en/insights/why-ai-projects-fail data insight ### Alice Labs Implementation Index 2026 Proprietary Nordic data: 96% production rate. 8 min https://alicelabs.ai/en/insights/alice-labs-implementation-index-2026 ## Sources 1. BCG / MIT Sloan Management Review — GenAI value realisation (2024) (https://sloanreview.mit.edu/projects/expanding-ais-impact-with-organizational-learning/)(accessed 2026-05-06) 2. McKinsey & Company — The State of AI (2024/2025) (https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai)(accessed 2026-05-06) 3. Eurostat — Use of artificial intelligence in EU enterprises (2025 reference year) (https://ec.europa.eu/eurostat/web/digital-economy-and-society/information-society-statistics)(accessed 2026-05-06) 4. RAND Corporation — Root Causes of AI Project Failure (RR-A2680-1, August 2024) (https://www.rand.org/pubs/research_reports/RRA2680-1.html)(accessed 2026-05-06) 5. EU AI Act — Regulation (EU) 2024/1689 (https://eur-lex.europa.eu/eli/reg/2024/1689/oj)(accessed 2026-05-06) 6. Alice Labs Enterprise AI Implementation Index 2026 (https://alicelabs.ai/en/insights/alice-labs-implementation-index-2026)(accessed 2026-05-06) Next scheduled review: 2026-12-15 Alice Labs practitioner team Book a Discovery Call Share Share on LinkedIn (https://www.linkedin.com/sharing/share-offsite/?url=https%3A%2F%2Falicelabs.ai%2Fen%2Finsights%2Fai-readiness-assessment)Share on X (https://twitter.com/intent/tweet?url=https%3A%2F%2Falicelabs.ai%2Fen%2Finsights%2Fai-readiness-assessment&text=AI%20Readiness%20Assessment%3A%2015-Question%20Scorecard%20(2026%20Guide)) ## Get in Touch! The lab usually responds within 24 hours. Need help with AI? Get in touch (https://alicelabs.ai/en/ai-consulting-services#contact-form) ## Structured data ```json [ { "@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. Architects AI agent systems and automation in production for clients across financial services, media, and the public sector.", "url": "https://alicelabs.ai/en/linus-ingemarsson", "sameAs": [ "https://www.linkedin.com/in/linus-ingemarsson/", "https://www.wikidata.org/wiki/Q140369914" ], "knowsAbout": [ "AI agents", "agent orchestration", "AI implementation", "LangGraph", "RAG systems", "AI strategy", "enterprise AI", "AI search optimization", "LLMO", "Nordic AI ecosystem" ], "worksFor": { "@id": "https://alicelabs.ai/#organization" } }, { "@type": "Person", "@id": "https://alicelabs.ai/#eric", "name": "Eric Lundberg", "givenName": "Eric", "familyName": "Lundberg", "jobTitle": "Co-Founder", "description": "Co-founder of Alice Labs. Designs AI automation systems and agent workflows that remove repetitive work and make day-to-day operations more reliable.", "url": "https://alicelabs.ai/en/eric-lundberg", "sameAs": [ "https://www.linkedin.com/in/eric-lundberg-3530451bb/", "https://www.wikidata.org/wiki/Q140369978" ], "knowsAbout": [ "AI automation", "agent workflows", "AI integrations", "process automation", "knowledge systems", "AI engineering", "enterprise AI", "Nordic AI ecosystem" ], "worksFor": { "@id": "https://alicelabs.ai/#organization" } }, { "@type": "Person", "@id": "https://alicelabs.ai/#alice", "name": "Alice Holmgren", "givenName": "Alice", "familyName": "Holmgren", "jobTitle": "CEO", "description": "CEO of Alice Labs. Leads strategy and growth across the Nordic AI consulting market.", "url": "https://alicelabs.ai/en/alice-holmgren", "knowsAbout": [ "AI strategy", "AI consulting leadership", "business development", "Nordic AI ecosystem", "enterprise AI adoption", "AI program management" ], "worksFor": { "@id": "https://alicelabs.ai/#organization" } }, { "@type": [ "LocalBusiness", "ProfessionalService" ], "@id": "https://alicelabs.ai/#localbusiness", "name": "Alice Labs", "description": "AI-konsult i Stockholm. Vi hjälper företag implementera AI - från strategi till skalning. Boka möte för en kostnadsfri AI-genomgång.", "url": "https://alicelabs.ai", "logo": { "@id": "https://alicelabs.ai/#logo" }, "image": { "@id": "https://alicelabs.ai/#logo" }, "telephone": "+46734157476", "email": "hej@alicelabs.ai", "priceRange": "$$$", "currenciesAccepted": "SEK, EUR, USD", "paymentAccepted": "Invoice", "address": { "@type": "PostalAddress", "streetAddress": "Hammarbybacken 27", "addressLocality": "Stockholm", "postalCode": "120 30", "addressRegion": "Stockholms län", "addressCountry": "SE" }, "geo": { "@type": "GeoCoordinates", "latitude": 59.3018, "longitude": 18.1003 }, "areaServed": [ { "@type": "City", "name": "Stockholm" }, { "@type": "City", "name": "Göteborg" }, { "@type": "City", "name": "Malmö" }, { "@type": "City", "name": "Uppsala" }, { "@type": "Country", "name": "Sweden" } ], "openingHoursSpecification": [ { "@type": "OpeningHoursSpecification", "dayOfWeek": [ "Monday", "Tuesday", "Wednesday", "Thursday", "Friday" ], "opens": "08:00", "closes": "18:00" } ], "hasOfferCatalog": { "@type": "OfferCatalog", "name": "AI-tjänster", "itemListElement": [ { "@type": "Offer", "itemOffered": { "@type": "Service", "name": "AI-konsult" } }, { "@type": "Offer", "itemOffered": { "@type": "Service", "name": "AI-strategi" } }, { "@type": "Offer", "itemOffered": { "@type": "Service", "name": "AI-implementation" } }, { "@type": "Offer", "itemOffered": { "@type": "Service", "name": "AI-utbildning" } }, { "@type": "Offer", "itemOffered": { "@type": "Service", "name": "AI-agenter" } }, { "@type": "Offer", "itemOffered": { "@type": "Service", "name": "AI-automation" } } ] }, "knowsAbout": [ "AI-konsult", "AI-strategi", "AI-implementation", "AI-utbildning", "AI-agenter", "AI-automation", "Generative AI", "Machine learning", "RAG", "Large language models", "AI governance" ], "parentOrganization": { "@id": "https://alicelabs.ai/#organization" }, "sameAs": [ "https://www.linkedin.com/company/alicelabsai" ] }, { "@type": "WebSite", "@id": "https://alicelabs.ai/#website", "url": "https://alicelabs.ai", "name": "Alice Labs", "alternateName": [ "Alice Labs AB" ], "description": "AI consulting, implementation and training for businesses.", "publisher": { "@id": "https://alicelabs.ai/#organization" }, "inLanguage": [ "sv-SE", "en-US" ], "potentialAction": { "@type": "SearchAction", "target": { "@type": "EntryPoint", "urlTemplate": "https://alicelabs.ai/?q={search_term_string}" }, "query-input": "required name=search_term_string" } } ] }, { "@context": "https://schema.org", "@graph": [ { "@type": "HowTo", "@id": "https://alicelabs.ai/en/insights/ai-readiness-assessment#article", "headline": "AI Readiness Assessment: The 15-Question Scorecard", "description": "Run an AI readiness assessment in 2-4 hours. The 15-question scorecard across Strategy, Data, Talent, Technology, and Governance — with scoring rubric and 30/60/90 day plan.", "url": "https://alicelabs.ai/en/insights/ai-readiness-assessment", "datePublished": "2026-05-06", "dateModified": "2026-09-16", "expires": "2026-12-15", "author": { "@id": "https://alicelabs.ai/#eric" }, "reviewedBy": { "@id": "https://alicelabs.ai/#linus" }, "dateReviewed": "2026-09-16", "publisher": { "@type": "Organization", "name": "Alice Labs", "url": "https://alicelabs.ai", "logo": { "@type": "ImageObject", "url": "https://alicelabs.ai/images/alice-logo.png" } }, "image": { "@type": "ImageObject", "@id": "https://alicelabs.ai/en/insights/ai-readiness-assessment#hero-image", "url": "https://alicelabs.ai/images/og/og-home.jpg", "contentUrl": "https://alicelabs.ai/images/og/og-home.jpg", "width": 1600, "height": 900, "caption": "AI Readiness Assessment: 15-Question Scorecard (2026 Guide)", "creator": { "@id": "https://alicelabs.ai/#organization" }, "representativeOfPage": true, "license": "https://alicelabs.ai/terms" }, "mainEntityOfPage": { "@type": "WebPage", "@id": "https://alicelabs.ai/en/insights/ai-readiness-assessment" }, "inLanguage": "en", "articleSection": "ai-strategy", "keywords": "ai readiness assessment, ai readiness scorecard, ai maturity assessment, is my company ready for ai, ai readiness check", "about": [ { "@type": "Thing", "name": "Why AI Readiness Matters in 2026", "url": "https://alicelabs.ai/en/insights/ai-readiness-assessment#why-readiness-matters" }, { "@type": "Thing", "name": "The 5 Dimensions of AI Readiness", "url": "https://alicelabs.ai/en/insights/ai-readiness-assessment#five-dimensions" }, { "@type": "Thing", "name": "The 15-Question Scorecard", "url": "https://alicelabs.ai/en/insights/ai-readiness-assessment#scorecard" }, { "@type": "Thing", "name": "How Alice Labs Delivers AI Readiness Assessments", "url": "https://alicelabs.ai/en/insights/ai-readiness-assessment#alice-labs-methodology" }, { "@type": "Thing", "name": "From Score to Action: The 30/60/90 Day Plan", "url": "https://alicelabs.ai/en/insights/ai-readiness-assessment#score-to-action" } ], "mentions": [ { "@type": "Organization", "name": "Alice Labs", "url": "https://alicelabs.ai" }, { "@type": "Organization", "name": "McKinsey & Company", "url": "https://mckinsey.com" }, { "@type": "Organization", "name": "Boston Consulting Group", "url": "https://bcg.com" }, { "@type": "Organization", "name": "European Union", "url": "https://europa.eu" }, { "@type": "Organization", "name": "MIT", "url": "https://mit.edu" }, { "@type": "Person", "name": "Eric Lundberg", "url": "https://linkedin.com/in/eric-lundberg-3530451bb" }, { "@type": "Place", "name": "Sweden", "url": "https://www.wikidata.org/wiki/Q34" }, { "@type": "Organization", "name": "Linus Ingemarsson" }, { "@type": "Organization", "name": "Score the Strategy dimension" }, { "@type": "Organization", "name": "Score the Data dimension" } ], "hasPart": [ { "@type": "WebPageElement", "isAccessibleForFree": true, "name": "Why AI Readiness Matters in 2026", "url": "https://alicelabs.ai/en/insights/ai-readiness-assessment#why-readiness-matters", "description": "AI readiness matters because most AI investments fail to deliver value. BCG and MIT Sloan Management Review (2024) found only ~26% of GenAI initiatives produce measurable business outcomes. Readiness — not ambition — separates the 26% from the 74%." }, { "@type": "WebPageElement", "isAccessibleForFree": true, "name": "The 5 Dimensions of AI Readiness", "url": "https://alicelabs.ai/en/insights/ai-readiness-assessment#five-dimensions", "description": "The Alice Labs AI Readiness Score evaluates five dimensions: Strategy, Data, Talent, Technology, and Governance. Each dimension is rated 0-20, producing a composite score of 0-100. The lowest dimension — not the average — predicts success." }, { "@type": "WebPageElement", "isAccessibleForFree": true, "name": "The 15-Question Scorecard", "url": "https://alicelabs.ai/en/insights/ai-readiness-assessment#scorecard", "description": "Three questions per dimension, 15 total. Each question scores 0 (not in place), 3 (partially), or 7 (mature). Maximum 20 per dimension after rounding rules, 100 composite. Score below 60 means foundational gaps to fix before pilots." }, { "@type": "WebPageElement", "isAccessibleForFree": true, "name": "How Alice Labs Delivers AI Readiness Assessments", "url": "https://alicelabs.ai/en/insights/ai-readiness-assessment#alice-labs-methodology", "description": "Alice Labs runs a 1-week structured assessment that produces a scored scorecard, a binding-constraint diagnosis, and a 30/60/90 day plan. The Enterprise AI Implementation Index 2026 reports a 96% production rate across 100+ Nordic implementations — vs ~26% industry baseline." }, { "@type": "WebPageElement", "isAccessibleForFree": true, "name": "From Score to Action: The 30/60/90 Day Plan", "url": "https://alicelabs.ai/en/insights/ai-readiness-assessment#score-to-action", "description": "Composite below 60 means fix foundations before pilots. 60-80 means run selective pilots in dimensions scoring 4+/5. Above 80 means scale. The 30/60/90 day plan sequences fixes by impact, not by ease." } ], "speakable": { "@type": "SpeakableSpecification", "cssSelector": [ "[data-speakable='true']", "[data-snippet='true']", "[data-section-answer='true']", ".quick-answer", "h1" ] } }, { "@type": "BreadcrumbList", "@id": "https://alicelabs.ai/en/insights/ai-readiness-assessment#breadcrumb", "itemListElement": [ { "@type": "ListItem", "position": 1, "name": "Home", "item": "https://alicelabs.ai/en" }, { "@type": "ListItem", "position": 2, "name": "Insights", "item": "https://alicelabs.ai/en/insights" }, { "@type": "ListItem", "position": 3, "name": "ai-strategy", "item": "https://alicelabs.ai/en/insights/ai-strategy" }, { "@type": "ListItem", "position": 4, "name": "AI Readiness Assessment: 15-Question Scorecard (2026 Guide)", "item": "https://alicelabs.ai/en/insights/ai-readiness-assessment" } ] }, { "@type": "Person", "@id": "https://alicelabs.ai/#eric", "name": "Eric Lundberg", "jobTitle": "Co-Founder", "worksFor": { "@id": "https://alicelabs.ai/#organization" }, "knowsAbout": [ { "@type": "DefinedTerm", "name": "AI automation", "url": "https://www.wikidata.org/wiki/Q1322483" }, { "@type": "DefinedTerm", "name": "Workflow automation", "url": "https://www.wikidata.org/wiki/Q120427660" }, { "@type": "DefinedTerm", "name": "Retrieval-Augmented Generation", "url": "https://www.wikidata.org/wiki/Q117761563" }, { "@type": "DefinedTerm", "name": "Enterprise AI implementation" } ], "sameAs": [ "https://www.linkedin.com/in/eric-lundberg-3530451bb/", "https://www.wikidata.org/wiki/Q140369978" ] }, { "@type": "Person", "@id": "https://alicelabs.ai/#linus", "name": "Linus Ingemarsson", "jobTitle": "CEO & Co-Founder", "worksFor": { "@id": "https://alicelabs.ai/#organization" }, "knowsAbout": [ { "@type": "DefinedTerm", "name": "AI agent orchestration", "url": "https://www.wikidata.org/wiki/Q98678395" }, { "@type": "DefinedTerm", "name": "AI strategy" }, { "@type": "DefinedTerm", "name": "AI search optimization (LLMO)" }, { "@type": "DefinedTerm", "name": "Enterprise AI strategy" }, { "@type": "DefinedTerm", "name": "AI consulting leadership" } ], "sameAs": [ "https://www.linkedin.com/in/linus-ingemarsson/", "https://www.wikidata.org/wiki/Q140369914" ] }, { "@type": "FAQPage", "mainEntity": [ { "@type": "Question", "name": "What is an AI readiness assessment?", "acceptedAnswer": { "@type": "Answer", "text": "An AI readiness assessment is a structured evaluation of an organisation's capacity to plan, build, deploy, and govern AI. The Alice Labs methodology scores 15 questions across five dimensions — Strategy, Data, Talent, Technology, and Governance — and produces a composite score, a binding-constraint diagnosis, and a 30/60/90 day roadmap." } }, { "@type": "Question", "name": "How long does an AI readiness assessment take?", "acceptedAnswer": { "@type": "Answer", "text": "A self-run assessment using the 15-question scorecard takes 2-4 hours with the right people in the room (CEO or COO, CFO, CIO, and a business sponsor). The Alice Labs facilitated assessment runs over one calendar week and includes workshops, data and technology deep-dives, and a presented roadmap." } }, { "@type": "Question", "name": "Is my company ready for AI?", "acceptedAnswer": { "@type": "Answer", "text": "Score the 15-question scorecard. A composite above 60 out of 100 indicates you can run selective pilots. Below 60 means foundational gaps — usually in Strategy (missing business owner, unclear metrics) or Data (poor availability or quality) — that will block pilots until fixed." } }, { "@type": "Question", "name": "Why do most AI projects fail?", "acceptedAnswer": { "@type": "Answer", "text": "BCG and MIT Sloan Management Review (2024) found only ~26% of GenAI investments deliver measurable value. RAND Corporation (RR-A2680-1, 2024) identified three dominant root causes: missing business ownership, weak data foundations, and unclear success metrics. None are technical — all show up in a readiness assessment." } }, { "@type": "Question", "name": "What is the Alice Labs AI Readiness Score?", "acceptedAnswer": { "@type": "Answer", "text": "The Alice Labs AI Readiness Score is a proprietary 5-dimension framework — Strategy, Data, Talent, Technology, Governance — scored via 15 questions (3 per dimension). It produces dimension scores out of 20, a composite out of 100, and a binding-constraint diagnosis. Built on 100+ Nordic enterprise implementations." } }, { "@type": "Question", "name": "How often should we re-run the AI readiness assessment?", "acceptedAnswer": { "@type": "Answer", "text": "Quarterly during active investment phases, then annually once you reach a composite of 80+. Dimensions move at different speeds — technology can change in weeks, talent in quarters, and governance in months — so a single annual cadence often misses the dimension that just shifted." } }, { "@type": "Question", "name": "What does an AI readiness assessment cost?", "acceptedAnswer": { "@type": "Answer", "text": "A self-run assessment costs internal time only — typically 2-4 hours plus prep. A facilitated assessment from a Nordic consultancy like Alice Labs is a fixed-scope engagement, usually one week, and includes the scorecard, gap analysis, and 30/60/90 day plan with named owners." } }, { "@type": "Question", "name": "How does AI readiness relate to the EU AI Act?", "acceptedAnswer": { "@type": "Answer", "text": "Governance is one of the five readiness dimensions. The EU AI Act (Regulation 2024/1689) classifies certain uses as high-risk under Annex III — employment, credit, education, critical infrastructure, and others. A readiness assessment maps your use cases against Annex III and identifies conformity assessment requirements before deployment." } } ] }, { "@context": "https://schema.org", "@type": "HowTo", "name": "AI Readiness Assessment: The 15-Question Scorecard", "description": "Run an AI readiness assessment in 2-4 hours. The 15-question scorecard across Strategy, Data, Talent, Technology, and Governance — with scoring rubric and 30/60/90 day plan.", "totalTime": "10 min read", "step": [ { "@type": "HowToStep", "position": 1, "name": "Score the Strategy dimension", "text": "Rate three questions on AI ambition, business ownership, and success metrics. Strategy gaps are the single biggest predictor of failure — RAND found missing business ownership is the top root cause." }, { "@type": "HowToStep", "position": 2, "name": "Score the Data dimension", "text": "Rate data availability, quality, and access. Without trustworthy, queryable data, no model performs in production. Weak data foundations are a top-three failure cause per RAND." }, { "@type": "HowToStep", "position": 3, "name": "Score the Talent dimension", "text": "Rate ML and data engineering depth, change-management capacity, and executive AI literacy. Talent gaps are the slowest to close, so identify them early." }, { "@type": "HowToStep", "position": 4, "name": "Score the Technology dimension", "text": "Rate cloud and compute, integration architecture, and MLOps maturity. Modern AI requires production-grade pipelines, not notebooks." }, { "@type": "HowToStep", "position": 5, "name": "Score the Governance dimension", "text": "Rate risk and compliance, ethics review, and EU AI Act readiness (Regulation 2024/1689). High-risk systems under Annex III need governance before deployment." }, { "@type": "HowToStep", "position": 6, "name": "Calculate the composite score", "text": "Sum each dimension (0-20 per dimension, 0-100 total). Score below 60 means foundational gaps. Score 60-80 means selective AI investment. Score above 80 means scale." }, { "@type": "HowToStep", "position": 7, "name": "Identify the binding constraint", "text": "Find the lowest-scoring dimension. This is your binding constraint — fix it first. Investing around it wastes capital." }, { "@type": "HowToStep", "position": 8, "name": "Prioritise fixes by impact", "text": "Rank gaps by (a) how many use cases they block and (b) time-to-fix. Foundational gaps (data, business ownership) beat surface gaps (tool selection)." }, { "@type": "HowToStep", "position": 9, "name": "Plan the 30/60/90 day roadmap", "text": "Day 1-30: assign business owners, define success metrics, audit data. Day 31-60: launch 1-2 high-readiness pilots. Day 61-90: stand up governance and scale plan." } ] }, { "@context": "https://schema.org", "@type": "Dataset", "name": "AI Readiness Assessment: The 15-Question Scorecard", "description": "Run an AI readiness assessment in 2-4 hours. The 15-question scorecard across Strategy, Data, Talent, Technology, and Governance — with scoring rubric and 30/60/90 day plan.", "url": "https://alicelabs.ai/en/insights/ai-readiness-assessment", "datePublished": "2026-05-06", "dateModified": "2026-09-16", "creator": { "@type": "Organization", "name": "Alice Labs", "url": "https://alicelabs.ai" }, "license": "https://creativecommons.org/licenses/by/4.0/", "isAccessibleForFree": true, "keywords": [ "ai readiness assessment", "ai readiness scorecard", "ai maturity assessment", "is my company ready for ai", "ai readiness check" ] }, { "@context": "https://schema.org", "@type": "ItemList", "name": "Related articles", "itemListElement": [ { "@type": "ListItem", "position": 1, "url": "https://alicelabs.ai/en/insights/enterprise-ai-strategy-framework", "name": "Enterprise AI Strategy Framework" }, { "@type": "ListItem", "position": 2, "url": "https://alicelabs.ai/en/insights/why-ai-projects-fail", "name": "Why AI Projects Fail: 7 Root Causes" }, { "@type": "ListItem", "position": 3, "url": "https://alicelabs.ai/en/insights/alice-labs-implementation-index-2026", "name": "Alice Labs Implementation Index 2026" } ] }, { "@context": "https://schema.org", "@type": "ItemList", "name": "Table of Contents", "numberOfItems": 5, "itemListOrder": "https://schema.org/ItemListOrderAscending", "itemListElement": [ { "@type": "ListItem", "position": 1, "name": "Why AI Readiness Matters in 2026", "url": "https://alicelabs.ai/en/insights/ai-readiness-assessment#why-readiness-matters" }, { "@type": "ListItem", "position": 2, "name": "The 5 Dimensions of AI Readiness", "url": "https://alicelabs.ai/en/insights/ai-readiness-assessment#five-dimensions" }, { "@type": "ListItem", "position": 3, "name": "The 15-Question Scorecard", "url": "https://alicelabs.ai/en/insights/ai-readiness-assessment#scorecard" }, { "@type": "ListItem", "position": 4, "name": "How Alice Labs Delivers AI Readiness Assessments", "url": "https://alicelabs.ai/en/insights/ai-readiness-assessment#alice-labs-methodology" }, { "@type": "ListItem", "position": 5, "name": "From Score to Action: The 30/60/90 Day Plan", "url": "https://alicelabs.ai/en/insights/ai-readiness-assessment#score-to-action" } ] } ] }, { "@context": "https://schema.org", "@type": "BreadcrumbList", "itemListElement": [ { "@type": "ListItem", "position": 1, "name": "Home", "item": "https://alicelabs.ai/en" }, { "@type": "ListItem", "position": 2, "name": "Insights", "item": "https://alicelabs.ai/en/insights" }, { "@type": "ListItem", "position": 3, "name": "AI Strategy", "item": "https://alicelabs.ai/en/insights/ai-strategy" }, { "@type": "ListItem", "position": 4, "name": "AI Readiness Assessment: The 15-Question Scorecard" } ] } ] ```