--- title: "AI Governance Consulting | EU AI Act Compliance | Alice Labs" description: "AI governance consulting — EU AI Act compliance, risk frameworks & policies. 100+ enterprise AI projects across Europe. 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It covers: AI usage policies, risk assessment and classification, data handling and privacy, model selection and evaluation, monitoring and audit trails, incident response, and regulatory compliance (including the EU AI Act). Good governance enables faster AI adoption—not slower." } }, { "@type": "Question", "name": "What is an AI governance strategy?", "acceptedAnswer": { "@type": "Answer", "text": "An AI governance strategy is a structured plan for how an organization will manage AI risks, ensure compliance, and enable responsible innovation. It typically includes: a governance framework with roles and responsibilities, AI risk classification methodology, approved tools and platforms list, data governance policies, compliance mapping to relevant regulations, monitoring and reporting mechanisms, and an incident response plan." } }, { "@type": "Question", "name": "What is the EU AI Act and how does it affect my business?", "acceptedAnswer": { "@type": "Answer", "text": "The EU AI Act is the world's first comprehensive AI regulation, classifying AI systems by risk level: Unacceptable (banned), High-risk (strict requirements), Limited risk (transparency obligations), and Minimal risk (no requirements). Most business AI applications fall into limited or minimal risk, but some HR, credit, and safety applications may be high-risk. We help you classify your AI systems, understand obligations, and implement compliance efficiently." } }, { "@type": "Question", "name": "How do you build an AI governance framework?", "acceptedAnswer": { "@type": "Answer", "text": "We follow a four-phase approach: 1) Inventory—map all AI use cases and classify by risk level. 2) Policy—create clear, practical policies for AI usage, data handling, and vendor management. 3) Controls—implement technical and organizational controls (logging, access, monitoring). 4) Operationalize—train teams, establish review processes, and build continuous compliance monitoring. The goal is a framework that enables innovation within clear guardrails." } }, { "@type": "Question", "name": "Does AI governance slow down innovation?", "acceptedAnswer": { "@type": "Answer", "text": "No—done right, governance accelerates AI adoption. Without governance, every AI project faces ad-hoc security reviews, legal uncertainty, and stakeholder resistance. With a clear framework, teams know what's allowed, how to evaluate tools, and what approvals are needed. Our clients typically see faster project approval and broader organizational buy-in after implementing governance." } }, { "@type": "Question", "name": "What does an AI policy include?", "acceptedAnswer": { "@type": "Answer", "text": "A practical AI policy covers: approved AI tools and platforms, acceptable use guidelines by role/function, data classification and handling rules, vendor and model evaluation criteria, privacy and confidentiality requirements, output review and quality standards, incident reporting procedures, and escalation paths. We write policies that people actually follow—clear, practical, and role-specific." } }, { "@type": "Question", "name": "How do you handle GDPR compliance in AI projects?", "acceptedAnswer": { "@type": "Answer", "text": "GDPR compliance is built into every engagement: we map personal data flows, implement data minimization, ensure lawful basis for processing, configure data processing agreements with AI vendors, implement right-to-erasure capabilities, and maintain processing records. For high-sensitivity data, we use EU-hosted or on-premise AI models." } }, { "@type": "Question", "name": "What AI risk assessment methodology do you use?", "acceptedAnswer": { "@type": "Answer", "text": "We use a structured risk assessment combining EU AI Act risk categories with business impact analysis. Each AI use case is evaluated on: data sensitivity, decision autonomy, affected population, reversibility of decisions, regulatory classification, and organizational readiness. The result is a prioritized risk register with clear mitigation actions." } }, { "@type": "Question", "name": "Do you help with AI audits?", "acceptedAnswer": { "@type": "Answer", "text": "Yes. We conduct comprehensive AI audits covering: inventory of all AI tools and use cases, risk classification per the EU AI Act, compliance gap analysis, data governance assessment, security and access control review, vendor and model evaluation, and policy effectiveness assessment. Deliverables include a detailed audit report and prioritized remediation roadmap." } }, { "@type": "Question", "name": "How do we get started with AI governance?", "acceptedAnswer": { "@type": "Answer", "text": "Start with a governance assessment (1-2 weeks) where we inventory your AI use cases, classify risks, and identify gaps. From there, we build a prioritized roadmap: quick wins (policies, approved tools list) first, then structural changes (monitoring, controls, training). Most organizations can have a functional governance framework within 4-8 weeks." } } ] } ] } ] --- ![Background for AI Governance](/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-governance) [Home](/en)[AI Consulting](/en/ai-consulting) AI Governance AI Governance & Compliance Fresh Last reviewed: 29 June 2026 · 57d ago # AI Governance for Business – Compliance That Enables Innovation Alice Labs helps organizations build AI governance frameworks that enable responsible, compliant AI adoption. We deliver practical policies, EU AI Act compliance, risk assessment, and monitoring—not bureaucratic overhead. Governance that accelerates AI innovation within clear guardrails. Book a Discovery Call[See Our Framework](#framework) EU AI Act compliance experts GDPR-compliant by design Governance that accelerates, not blocks 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 AI Governance? **AI governance** is the system of policies, processes, and controls that ensures an organization deploys AI responsibly, securely, and in compliance with applicable regulations. It's the bridge between AI ambition and organizational trust—enabling teams to innovate with confidence. A comprehensive AI governance framework covers: AI usage policies, risk assessment and classification (aligned with the EU AI Act), data governance and privacy, vendor and model evaluation, access controls, monitoring and audit trails, incident response, and continuous compliance. The key is making governance practical—enabling faster AI adoption, not blocking it. At **Alice Labs**, we build governance frameworks that are pragmatic, not bureaucratic. Our approach: classify risks, create clear policies, implement monitoring, and train teams—so your organization can scale AI responsibly. We work with enterprises, public sector, and growth-stage companies across Europe. ## What We Deliver Practical governance that your teams will actually use ### AI Policy Clear, practical usage guidelines by role and function ### Risk Classification EU AI Act risk mapping for all your AI use cases ### Approved Tools List Evaluated and approved AI platforms and vendors ### Data Governance GDPR-compliant data handling and privacy controls ### Monitoring Framework Dashboards, audit trails, and incident response ### Training Program Role-specific governance training for all teams ### Compliance Mapping Gap analysis against EU AI Act and industry regulations ### Governance Playbook Complete framework with processes and templates ## Our Governance Process 01 ### Inventory & Classify 1-2 weeks Map all AI use cases. Classify by EU AI Act risk level. Identify compliance gaps. 02 ### Policy & Controls 2-4 weeks Create practical policies. Define approved tools. Implement access controls and logging. 03 ### Train & Launch 1-2 weeks Role-specific training. Launch governance framework. Establish review cadence. 04 ### Monitor & Evolve Ongoing Continuous compliance monitoring. Quarterly reviews. Adapt to new regulations and use cases. Regulated Industries ## AI Governance for Regulated Industries Most "AI governance" consulting stops at the EU AI Act. Real regulated industries operate under overlapping US and EU regimes. Below is how Alice Labs maps services to the specific frameworks US and European regulators actually enforce — with direct citations to the source documents. ### Banking US Federal Reserve, OCC, FDIC, EU EBA AI in credit scoring, fraud detection, AML and trading is treated as a _model_ under long-standing US bank supervisory guidance. Alice Labs builds your model risk management program to satisfy Federal Reserve SR 11-7 and OCC Bulletin 2011-12 in parallel with EU AI Act Annex III (credit scoring is high-risk). From Federal Reserve SR 11-7 > "The use of models invariably presents model risk, which is the potential for adverse consequences from decisions based on incorrect or misused model outputs and reports. Banks should objectively assess model risk and the associated costs and benefits using a sound model-validation process." Frameworks we cover: [Federal Reserve SR 11-7 — Guidance on Model Risk Management ](https://www.federalreserve.gov/supervisionreg/srletters/sr1107.htm)[OCC Bulletin 2011-12 — Sound Practices for Model Risk Management ](https://www.occ.treas.gov/news-issuances/bulletins/2011/bulletin-2011-12.html)[NIST AI Risk Management Framework 1.0 ](https://www.nist.gov/itl/ai-risk-management-framework)[EU EBA Internal Models — model validation guidelines ](https://www.eba.europa.eu/regulation-and-policy/model-validation) ### Insurance US NAIC, NYDFS, Colorado DOI, EU EIOPA Underwriting, claims, pricing and marketing AI are explicitly in scope of the 2023 NAIC Model Bulletin and Colorado's algorithmic discrimination testing rule (SB21-169). Alice Labs builds insurer AI programs (AIS — AI Systems) with documented governance, bias testing, disparate-impact analysis and consumer-disclosure controls. From NAIC Model Bulletin on Use of AI (2023) > "Decisions impacting consumers that are made or supported by advanced analytical and computational technologies, including AI, must comply with all applicable insurance laws and regulations, including those that address unfair trade practices and unfair discrimination." Frameworks we cover: [NAIC Model Bulletin on Use of AI by Insurers (Dec 2023) ](https://content.naic.org/sites/default/files/inline-files/2023-12-4%20Model%20Bulletin_Adopted_0.pdf)[NYDFS Circular Letter No. 7 (2024) — AI in underwriting ](https://www.dfs.ny.gov/industry_guidance/circular_letters/cl2024_07)[Colorado SB21-169 — algorithmic discrimination testing ](https://doi.colorado.gov/for-consumers/sb21-169-protecting-consumers-from-unfair-discrimination-in-insurance-practices)[EU EIOPA — AI Governance Principles for Insurance ](https://www.eiopa.europa.eu/publications/artificial-intelligence-governance-principles_en) ### Healthcare US HHS / OCR / ONC, EU MDR Clinical-decision support, ambient documentation and patient-triage AI sit at the intersection of HIPAA, the ONC HTI-1 algorithm transparency rule (effective 2025), HHS Section 1557 non-discrimination and EU AI Act Annex III. Alice Labs builds hospital/payer AI programs that satisfy all three regimes in parallel. From ONC HTI-1 Final Rule (45 CFR 170.315(b)(11)) > "Certified Health IT Modules that supply Decision Support Interventions must be capable of providing source attribute information for Predictive DSIs, including intervention purpose, intended user, intended decision, training data and fairness information." Frameworks we cover: [HIPAA Security Rule — 45 CFR Part 164 Subpart C ](https://www.hhs.gov/hipaa/for-professionals/security/index.html)[ONC HTI-1 Final Rule — algorithm transparency ](https://www.healthit.gov/topic/laws-regulation-and-policy/health-data-technology-and-interoperability-certification-program)[HHS Section 1557 — AI non-discrimination in clinical algorithms ](https://www.hhs.gov/civil-rights/for-providers/section-1557/index.html)[EU Medical Device Regulation (MDR 2017/745) ](https://health.ec.europa.eu/medical-devices-sector/new-regulations_en) ### MedTech (SaMD) US FDA CDRH, EU MDR / IVDR AI/ML Software-as-a-Medical-Device must demonstrate Good Machine Learning Practice and ship with a Predetermined Change Control Plan if it is to learn after deployment. Alice Labs builds the technical documentation, lifecycle controls and post-market monitoring that the FDA Center for Devices and Radiological Health expects, mapped one-to-one to EU MDR Annex II/III. From FDA PCCP Guidance (final, 2024) > "A PCCP describes planned modifications to an AI/ML-enabled device, including the methodology to develop, validate and implement those modifications in a manner that ensures the device remains safe and effective across the lifecycle without requiring additional marketing submissions." Frameworks we cover: [FDA — AI/ML Software-as-a-Medical-Device Action Plan ](https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-and-machine-learning-software-medical-device)[FDA Predetermined Change Control Plan (PCCP) Guidance ](https://www.fda.gov/regulatory-information/search-fda-guidance-documents/marketing-submission-recommendations-predetermined-change-control-plan-artificial)[FDA Good Machine Learning Practice (GMLP) — Guiding Principles ](https://www.fda.gov/medical-devices/software-medical-device-samd/good-machine-learning-practice-medical-device-development-guiding-principles)[EU MDR (2017/745) & IVDR (2017/746) ](https://health.ec.europa.eu/medical-devices-sector/new-regulations_en) ### Cross-Framework Service Mapping The same Alice Labs offer often satisfies multiple regulators simultaneously. Use this matrix to see which engagement covers which framework. Alice Labs Service EU Framework US Framework Typical Duration EU AI Act Compliance Program EU AI Act (Reg. 2024/1689), ISO/IEC 42001 NIST AI RMF 1.0, NIST AI 600-1 8–12 weeks Banking Model Risk Program EBA model validation, EU AI Act Annex III Fed SR 11-7, OCC Bulletin 2011-12, FDIC FIL-22-2017 12–20 weeks Insurance AIS Program EIOPA AI Principles, EU AI Act Annex III NAIC Model Bulletin, NYDFS CL-7, Colorado SB21-169 10–16 weeks Clinical AI Governance EU AI Act Annex III, MDR/IVDR, GDPR Art. 22 HIPAA, ONC HTI-1, HHS §1557 10–14 weeks SaMD AI/ML Governance MDR 2017/745, IVDR 2017/746, ISO 13485 FDA PCCP, GMLP, 510(k) / De Novo 12–24 weeks ISO/IEC 42001 Readiness ISO/IEC 42001:2023, ISO/IEC 23894 NIST AI RMF crosswalk 10–14 weeks Sources: [European Commission AI Act](https://digital-strategy.ec.europa.eu/en/policies/regulatory-framework-ai), [NIST AI RMF](https://www.nist.gov/itl/ai-risk-management-framework), [ISO/IEC 42001:2023](https://www.iso.org/standard/81230.html). Service Catalog ## AI Governance Service Catalog Eight productized engagements with fixed-fee ranges. Most clients start with the Assessment, then layer in one or two implementation packages. All fees are indicative and exclude VAT. ### AI Governance Assessment EUR 15–25k 1–2 weeks Inventory + EU AI Act risk classification + remediation roadmap. ### EU AI Act Compliance Program EUR 60–180k 8–12 weeks Article 11 docs, Article 14 oversight, Article 72 monitoring, Annex IV file. ### ISO/IEC 42001 Readiness EUR 45–95k 10–14 weeks AIMS implementation aligned to ISO/IEC 42001:2023. ### NIST AI RMF Implementation USD 55–140k 10–14 weeks Govern / Map / Measure / Manage + NIST AI 600-1 GenAI profile. ### Banking MRM (SR 11-7) EUR 75–200k 12–20 weeks Model risk program for credit, fraud, AML and trading AI. ### Healthcare / SaMD AI EUR 85–250k 12–24 weeks FDA PCCP + HIPAA + EU MDR alignment for clinical and SaMD AI. ### AI Policy & AUP Pack EUR 12–22k 2–3 weeks Board-ready Acceptable Use Policy + GenAI guidelines + incident playbook. ### Board Training EUR 8–15k Half-day Executive briefing for board, audit committee and C-suite. Selection Guide ## Best AI Governance Consultant — Choose Alice Labs If… We aren't the right fit for every buyer. Here is an honest comparison against the most common alternatives so you can self-qualify before you book a call. Selection Criterion Alice Labs Big Four (Deloitte, EY, KPMG, PwC) Global SI (Accenture, Capgemini, IBM) MBB (McKinsey, BCG, Bain) EU AI Act + NIST AI RMF in one engagement Yes — productized Partial — separate practices Partial Strategy only Senior partners on the work Always (founder-led) Sell senior, deliver junior Offshore-heavy Partners on slides only Fixed-fee engagement Yes — every offer Rare Rare No — T&M ISO/IEC 42001 readiness in 14 weeks Yes Yes (longer) Yes (longer) No Hands-on technical implementation Yes — builds + governs Subcontracted Yes No — advisory only FDA SaMD / PCCP experience Yes — productized Life sciences practice Limited No Typical engagement size EUR 15k – 250k EUR 300k – 3M EUR 500k – 5M EUR 1M – 8M Time to first deliverable 2 weeks 6–10 weeks 8–12 weeks 4–8 weeks ### Choose Alice Labs if… - You need EU and US framework coverage in one engagement - You want senior practitioners doing the work, not selling it - You need governance that ships in weeks, not quarters - You operate in banking, insurance, healthcare or MedTech - You want a fixed-fee, scoped engagement — not T&M sprawl - You want governance that accelerates AI adoption, not blocks it ### Choose someone else if… - You need a 200-person army for a multi-year transformation - You require a Big-Four-branded audit opinion for the SEC - You want a 300-slide strategy deck before any execution - Your buying process requires a tier-1 vendor on the master agreement - You need 24/7 managed-service operations at global scale ## Related Services [ ### AI Strategy Build a strategy that includes governance from day one ](/en/ai-strategy)[ ### AI Training Train your teams on responsible AI usage and best practices ](/en/ai-training)[ ### AI Consulting End-to-end AI consulting from strategy to implementation ](/en/ai-consulting) ## AI Governance & EU AI Act Insights Deep-dives on the regulations, frameworks and operating models behind every Alice Labs governance engagement — from the EU AI Act timeline to NIST AI RMF and ISO/IEC 42001. [EU AI Act compliance timeline — effective dates and phases 2026–2027](/en/insights/eu-ai-act-timeline-2026)[EU AI Act enterprise compliance preparation guide (best practices)](/en/insights/eu-ai-act-compliance-guide)[EU AI Act Annex IV checklist — compliance requirements 2026](/en/insights/eu-ai-act-compliance-checklist-2026)[EU AI Act for financial services — fraud detection and credit scoring high-risk rules](/en/insights/eu-ai-act-for-financial-services)[NIST AI Risk Management Framework (RMF 1.0) implementation guide](/en/insights/nist-ai-rmf-guide)[ISO/IEC 42001:2023 AI management system readiness guide](/en/insights/iso-42001-guide)[AI bias audit services — discrimination testing for enterprise hiring models](/en/insights/ai-bias-auditing-guide)[AI incident response playbooks — NIST, GDPR and SOC 2 for AI agents](/en/insights/ai-incident-response-plan)[How to set up an AI governance committee (charter and agenda)](/en/insights/ai-governance-committee-setup)[Shadow AI policy template for the enterprise](/en/insights/shadow-ai-policy-template) 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 AI governance? AI governance is the framework of policies, processes and controls that ensures AI systems are used responsibly, lawfully and safely. It covers EU AI Act compliance, ISO 42001 alignment, model risk management, bias and fairness testing, incident response and board-level oversight — increasingly required for any production AI in regulated industries. ## Frequently Asked Questions Everything you need to know about AI governance and compliance ### What is AI governance? AI governance is the framework of policies, processes, and controls that ensures an organization uses AI responsibly, securely, and in compliance with regulations. It covers: AI usage policies, risk assessment and classification, data handling and privacy, model selection and evaluation, monitoring and audit trails, incident response, and regulatory compliance (including the EU AI Act). Good governance enables faster AI adoption—not slower. ### What is an AI governance strategy? An AI governance strategy is a structured plan for how an organization will manage AI risks, ensure compliance, and enable responsible innovation. It typically includes: a governance framework with roles and responsibilities, AI risk classification methodology, approved tools and platforms list, data governance policies, compliance mapping to relevant regulations, monitoring and reporting mechanisms, and an incident response plan. ### What is the EU AI Act and how does it affect my business? The EU AI Act is the world's first comprehensive AI regulation, classifying AI systems by risk level: Unacceptable (banned), High-risk (strict requirements), Limited risk (transparency obligations), and Minimal risk (no requirements). Most business AI applications fall into limited or minimal risk, but some HR, credit, and safety applications may be high-risk. We help you classify your AI systems, understand obligations, and implement compliance efficiently. ### How do you build an AI governance framework? We follow a four-phase approach: 1) Inventory—map all AI use cases and classify by risk level. 2) Policy—create clear, practical policies for AI usage, data handling, and vendor management. 3) Controls—implement technical and organizational controls (logging, access, monitoring). 4) Operationalize—train teams, establish review processes, and build continuous compliance monitoring. The goal is a framework that enables innovation within clear guardrails. ### Does AI governance slow down innovation? No—done right, governance accelerates AI adoption. Without governance, every AI project faces ad-hoc security reviews, legal uncertainty, and stakeholder resistance. With a clear framework, teams know what's allowed, how to evaluate tools, and what approvals are needed. Our clients typically see faster project approval and broader organizational buy-in after implementing governance. ### What does an AI policy include? A practical AI policy covers: approved AI tools and platforms, acceptable use guidelines by role/function, data classification and handling rules, vendor and model evaluation criteria, privacy and confidentiality requirements, output review and quality standards, incident reporting procedures, and escalation paths. We write policies that people actually follow—clear, practical, and role-specific. ### How do you handle GDPR compliance in AI projects? GDPR compliance is built into every engagement: we map personal data flows, implement data minimization, ensure lawful basis for processing, configure data processing agreements with AI vendors, implement right-to-erasure capabilities, and maintain processing records. For high-sensitivity data, we use EU-hosted or on-premise AI models. ### What AI risk assessment methodology do you use? We use a structured risk assessment combining EU AI Act risk categories with business impact analysis. Each AI use case is evaluated on: data sensitivity, decision autonomy, affected population, reversibility of decisions, regulatory classification, and organizational readiness. The result is a prioritized risk register with clear mitigation actions. ### Do you help with AI audits? Yes. We conduct comprehensive AI audits covering: inventory of all AI tools and use cases, risk classification per the EU AI Act, compliance gap analysis, data governance assessment, security and access control review, vendor and model evaluation, and policy effectiveness assessment. Deliverables include a detailed audit report and prioritized remediation roadmap. ### How do we get started with AI governance? Start with a governance assessment (1-2 weeks) where we inventory your AI use cases, classify risks, and identify gaps. From there, we build a prioritized roadmap: quick wins (policies, approved tools list) first, then structural changes (monitoring, controls, training). Most organizations can have a functional governance framework within 4-8 weeks. Have more questions? Let's talk. No commitment - just a conversation about what AI can do for your business. Book a Call ## Ready to Build AI Governance? Book a governance assessment to identify gaps and priorities. Enforcement is live. Fines up to €35M. We get you compliant in 8–12 weeks. Name \* Company \* Email \* Phone (optional) Tell us about your goals Request Governance Assessment ## Explore more AI services Combine multiple services for maximum impact – we help you find the right mix [ ### AI Training Practical AI training for your entire team Learn more ](/en/ai-training)[ ### AI Consulting Strategy, implementation, and results Learn more ](/en/ai-consulting)[ ### AI Strategy Roadmap, use cases, and ROI planning Learn more ](/en/ai-strategy) ### Industries We Serve [Finance, Banking & Insurance](/en/industries/finance-banking-insurance)[Healthcare & Life Sciences](/en/industries/healthcare-life-sciences)[Supply Chain & Manufacturing](/en/industries/supply-chain-logistics-manufacturing)[Professional Services](/en/industries/professional-services)[All industries →](/en/industries) ### Alice Labs AB AI Automation & Creative Solutions in an AI Wonderland Org.nr: 559443-5470 Hammarbybacken 27 120 30 Stockholm, Sweden [+46 73 415 74 76](tel:+46734157476) [alice@alicelabs.ai](mailto:alice@alicelabs.ai) [LinkedIn →](https://se.linkedin.com/company/alicelabsai)[Google →](https://www.google.com/search?q=Alice+Labs+Stockholm+AI) #### Services [AI Training](/en/ai-training)[AI Consulting](/en/ai-consulting)[AI Automation](/en/ai-automation)[AI SEO](/en/ai-seo)[AI Agents](/en/ai-agents)[AI Search](/en/ai-search) #### Research & Insights [All insights →](/en/insights)[AI Search & LLMO](/en/insights/ai-search)[AI Strategy](/en/insights/ai-strategy)[AI Implementation](/en/insights/ai-implementation)[AI Agents](/en/insights/ai-agents)[AI Statistics](/en/insights/ai-statistics)[AI for Industries](/en/insights/ai-industries) #### Quick links [All industries →](/en/industries)[All functions →](/en/function)[AI Agency](/en/ai-agency)[What we do](/en#welcome)[About Alice](/en/about)[Case](/en#cases)[Contact](/en#email-form) #### AI Strategy [Enterprise AI Strategy](/en/enterprise-ai-strategy)[Generative AI Strategy](/en/generative-ai-strategy)[AI Data Strategy](/en/ai-data-strategy)[AI Go-To-Market Strategy](/en/ai-go-to-market-strategy)[AI Content Strategy](/en/ai-content-strategy) #### AI Implementation [AI Implementation Consultant](/en/ai-implementation-consultant)[AI Implementation Partner](/en/ai-implementation-partner)[Done-For-You AI](/en/done-for-you-ai-implementation)[Enterprise AI Consulting](/en/enterprise-ai-consulting)[AI Consulting Europe](/en/ai-consulting-europe)[Conversational AI Consulting](/en/conversational-ai-consulting) © 2026 Alice Labs. 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