--- title: "AI Consulting Services | Strategy, Implementation & Governance" description: "Full-service AI consulting: strategy, implementation, and governance. Nordic-based, EU-compliant. 100+ projects delivered for enterprises across Europe." 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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Our services include AI strategy development and roadmapping, use-case identification and prioritization, data strategy and architecture, AI/ML model development and deployment, system integration, AI governance and EU AI Act compliance, change management and training, and ongoing advisory. We serve as a single partner across the full AI lifecycle—from initial assessment to production operations." } }, { "@type": "Question", "name": "How do I choose the right AI consulting firm?", "acceptedAnswer": { "@type": "Answer", "text": "Evaluate AI consulting firms on five criteria: 1) Technical depth—can they build what they recommend? 2) Industry experience—do they understand your sector? 3) Delivery track record—ask for references and case studies. 4) Strategic + technical capability—strategy-only firms can't implement; technical-only firms may miss the bigger picture. 5) Cultural fit—AI consulting requires close collaboration. Alice Labs combines all five: we have senior engineers, industry expertise, 100+ deliveries, and both strategic and technical capabilities." } }, { "@type": "Question", "name": "What are typical AI consulting pricing models?", "acceptedAnswer": { "@type": "Answer", "text": "AI consulting is typically priced in three models: Project-based (fixed scope and price, €30,000-€300,000 depending on complexity), Time & Materials (€200-€350/hour for senior consultants), and Retainer (ongoing advisory at €10,000-€30,000/month). Strategy-only engagements are usually project-based. Implementation work often uses T&M for flexibility. Ongoing advisory is retainer-based. We recommend starting with a scoped assessment before committing to larger engagements." } }, { "@type": "Question", "name": "What does a typical AI consulting engagement process look like?", "acceptedAnswer": { "@type": "Answer", "text": "Our engagement process follows four phases: 1) Discovery (1-2 weeks): stakeholder interviews, current state assessment, opportunity mapping. 2) Strategy & Design (2-4 weeks): use-case prioritization, architecture design, ROI modeling, roadmap creation. 3) Implementation (8-16 weeks): development, integration, testing, deployment. 4) Optimize & Scale (ongoing): monitoring, iteration, expansion to new use cases. Many clients start with just phases 1-2 before deciding on implementation." } }, { "@type": "Question", "name": "What deliverables do we receive from AI consulting?", "acceptedAnswer": { "@type": "Answer", "text": "Deliverables vary by engagement type. Strategy engagements include: AI opportunity assessment, prioritization matrix, architecture recommendations, ROI model, governance framework, and implementation roadmap. Implementation engagements deliver: production-ready AI systems, technical documentation, API specifications, monitoring dashboards, and team training. All engagements include executive-ready presentations and clear next-step recommendations." } }, { "@type": "Question", "name": "What team composition do you bring to AI consulting projects?", "acceptedAnswer": { "@type": "Answer", "text": "Our typical project team includes: an engagement lead (strategic direction and stakeholder management), AI/ML engineers (model development and deployment), data engineers (pipeline and infrastructure), solution architects (system design and integration), and domain consultants (industry-specific expertise). Team size scales from 2-3 for strategy engagements to 5-8 for complex implementations. Every team member has 5+ years of relevant experience." } }, { "@type": "Question", "name": "Do you work remotely or onsite?", "acceptedAnswer": { "@type": "Answer", "text": "We work in the model that best serves each engagement. Strategy workshops and stakeholder alignment sessions are most effective onsite or in hybrid settings. Technical implementation work is primarily remote, with regular onsite presence for integration points and knowledge transfer. For Nordic clients, we can maintain regular onsite presence. For international clients, we use a remote-first model with strategic onsite visits at key milestones." } }, { "@type": "Question", "name": "What is your Nordic and EU focus?", "acceptedAnswer": { "@type": "Answer", "text": "While we serve clients globally, we have deep expertise in Nordic and European markets. This means: native understanding of EU AI Act and GDPR compliance requirements, experience with Nordic business culture and decision-making processes, local presence in Sweden, knowledge of European data sovereignty considerations, and multilingual capabilities (Swedish, English, and more). For EU-based organizations, working with a European AI consulting firm reduces regulatory and data residency complexity." } }, { "@type": "Question", "name": "How do you handle security and GDPR compliance?", "acceptedAnswer": { "@type": "Answer", "text": "Security and compliance are foundational to every engagement. We conduct data classification before any AI development, design systems with privacy-by-design principles, ensure GDPR-compliant data processing and storage, implement access controls and audit trails, address EU AI Act risk classification for all AI systems, sign NDAs and DPAs as standard practice, and can work within your infrastructure to avoid data transfer. Our consultants are trained in EU regulatory requirements." } }, { "@type": "Question", "name": "How do you measure AI consulting success?", "acceptedAnswer": { "@type": "Answer", "text": "We define success metrics collaboratively at engagement start. Common measures include: business KPIs (cost reduction, revenue impact, efficiency gains), technical metrics (model accuracy, system uptime, processing speed), adoption metrics (user engagement, process compliance), strategic metrics (time-to-value, portfolio coverage, governance maturity), and ROI realization (actual vs. projected returns). We provide regular reporting and conduct formal reviews at 30, 60, and 90 days post-delivery." } }, { "@type": "Question", "name": "What do AI consulting and implementation services include end-to-end?", "acceptedAnswer": { "@type": "Answer", "text": "AI consulting and implementation services combine advisory and delivery in one engagement: strategy and use-case prioritization, data readiness assessment, model selection and development, MLOps and integration into existing systems, EU AI Act and GDPR governance, change management, and post-launch monitoring. Alice Labs runs all phases under a single accountable team, so strategy decisions translate directly into working systems instead of being handed off to a separate vendor. Typical scopes range from 12 weeks (single use case) to 12 months (enterprise-wide rollout)." } }, { "@type": "Question", "name": "How are AI implementation consulting services structured?", "acceptedAnswer": { "@type": "Answer", "text": "AI implementation consulting services typically follow a four-stage delivery model: (1) Solution design and architecture (2-4 weeks), (2) Build and integrate — model development, API connections, security hardening (6-12 weeks), (3) Test and validate — functional, performance, and bias testing (2-3 weeks), and (4) Deploy and operate — production cutover, monitoring, and team handover (2-4 weeks). We staff each project with a senior engineer-led pod (architect, ML engineer, data engineer, domain consultant) and provide fixed-scope pricing for predictable budgets." } }, { "@type": "Question", "name": "What does AI testing consulting services cover?", "acceptedAnswer": { "@type": "Answer", "text": "AI testing consulting services cover the validation layer that traditional QA cannot: functional testing of model outputs, performance and latency benchmarking, bias and fairness audits, adversarial and robustness testing, drift detection setup, and compliance testing against the EU AI Act risk classification. We build test suites that run continuously in CI/CD pipelines, so AI systems are validated not only at launch but on every model update. Test coverage is documented for audit purposes — critical for regulated industries like finance, healthcare, and public sector." } }, { "@type": "Question", "name": "What is AI verification consulting and AI validation consulting?", "acceptedAnswer": { "@type": "Answer", "text": "AI verification consulting confirms a model does what it was specified to do (correctness against requirements). AI validation consulting confirms the model does the right thing in the real world (fitness for purpose against business outcomes). Both are required under the EU AI Act for high-risk systems. Our process includes formal requirements traceability, statistical performance validation on held-out and production data, human-in-the-loop review for edge cases, and signed-off validation reports that satisfy auditor and regulator requests." } }, { "@type": "Question", "name": "What is AI algorithm consulting and when do you need it?", "acceptedAnswer": { "@type": "Answer", "text": "AI algorithm consulting is specialist advisory on selecting, designing, or tuning the underlying algorithms that power an AI system — choosing between classical ML, deep learning, foundation models, or hybrid approaches; designing custom architectures when off-the-shelf models underperform; and optimizing for cost, latency, accuracy, and explainability trade-offs. Most enterprises need it when stock models fail on domain-specific data, when regulatory constraints require explainable approaches, or when production cost makes large general-purpose models economically unviable." } }, { "@type": "Question", "name": "How does AI process planning consulting work?", "acceptedAnswer": { "@type": "Answer", "text": "AI process planning consulting maps the business processes where AI will create the highest leverage, then designs the future-state workflow including human-in-the-loop checkpoints, escalation paths, and exception handling. Our process: (1) document current state with process mining and stakeholder interviews, (2) identify AI insertion points using value-effort scoring, (3) redesign the workflow with AI in-the-loop, (4) define KPIs and governance gates, (5) build the change plan. The output is an implementation-ready blueprint, not a slide deck." } }, { "@type": "Question", "name": "What do AI system implementation consultants actually deliver?", "acceptedAnswer": { "@type": "Answer", "text": "AI system implementation consultants deliver production AI systems, not prototypes. A typical Alice Labs engagement produces: deployed and integrated AI services running in your cloud or on-prem environment, full source code and documentation, CI/CD and MLOps pipelines, monitoring and alerting dashboards, security and compliance documentation (EU AI Act, GDPR, ISO 42001 alignment), runbooks for your operations team, and a 30/60/90-day post-launch support window. We hand over working systems your engineers can own." } }, { "@type": "Question", "name": "What are AI consulting and implementation services in 2026?", "acceptedAnswer": { "@type": "Answer", "text": "AI consulting and implementation services in 2026 combine strategy, build, and governance into a single accountable engagement. The 2025 Stanford AI Index found 78% of organizations reported using AI in at least one business function, up from 55% the prior year — but scaling beyond a single use case still requires integrated advisory. A typical scope runs 12-26 weeks, covers one to three prioritized use cases, and produces production systems plus an EU AI Act conformity file for each high-risk deployment." } }, { "@type": "Question", "name": "What does AI implementation consulting services cost for a mid-sized enterprise?", "acceptedAnswer": { "@type": "Answer", "text": "For a mid-sized European enterprise, a single-use-case AI implementation consulting engagement typically runs €120,000-€280,000 over 12-16 weeks. This covers a four-person pod (architect, ML engineer, data engineer, domain consultant), one production deployment, MLOps setup, and 30-day post-launch support. Multi-use-case programs scale to €500,000-€1.5M over 6-12 months. Fixed-scope contracts are standard for the first deployment; retainers of €15,000-€30,000/month cover ongoing optimization." } } ] } ] } ] --- ![Background for AI Consulting Services](/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-konsult) [Home](/en)[AI Consulting](/en/ai-consulting) AI Consulting Services Full-Service AI Consulting Fresh Last reviewed: 15 July 2026 · 41d ago # AI Consulting Services – Strategy, Implementation & Governance Alice Labs is a full-service AI consulting firm helping enterprises navigate every stage of the AI journey—from initial strategy through implementation and ongoing governance. Based in the Nordics with EU regulatory expertise, we combine strategic advisory with hands-on engineering to deliver AI that works. Book a Discovery Call[See Our Services](#services) 100+ projects delivered Nordic-based, EU-compliant Strategy through production 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 Are AI Consulting Services? **AI consulting services** encompass the full range of advisory and implementation support organizations need to successfully adopt artificial intelligence. This includes strategic planning (where and how to deploy AI), technical implementation (building and integrating AI systems), governance (compliance, ethics, and risk management), and organizational change management (training, adoption, and cultural transformation). At **Alice Labs**, we provide all of these under one roof. Unlike strategy-only firms that hand off implementation, or development shops that skip strategy, we serve as a single partner across the entire AI lifecycle. Our Nordic base gives us deep EU regulatory expertise, while our global experience ensures world-class technical delivery. **Why integrated consulting matters:** Only **26%** of organizations are moving beyond AI proof-of-concept to capture tangible enterprise-wide value, according to the BCG _Build for the Future 2024_ study — the gap is rarely the technology itself but the missing strategy-to-implementation bridge. (Source: [BCG, 2024](https://www.bcg.com/publications/2024/where-the-money-trail-from-ai-leads)) **2026 adoption benchmark:** The Stanford AI Index 2025 reports **78%** of organizations used AI in at least one business function in 2024, up from 55% the year prior — the fastest year-over-year jump the index has recorded. Consulting engagements now focus less on "should we use AI" and more on integrating multiple use cases under a single governance model. (Source: [Stanford HAI, AI Index 2025](https://hai.stanford.edu/ai-index/2025-ai-index-report)) **EU AI Act in force:** The EU AI Act entered into force on **1 August 2024**, with prohibitions applying from February 2025 and most high-risk obligations applying from August 2026. AI consulting engagements that ignore conformity assessments now create real legal exposure. (Source: [European Commission](https://digital-strategy.ec.europa.eu/en/policies/regulatory-framework-ai)) ## Our AI Consulting Services End-to-end AI consulting from strategy through production and beyond 2-6 weeks ### AI Strategy Use-case identification, prioritization, ROI modeling, and roadmap development 8-16 weeks ### AI Implementation Architecture, development, integration, testing, and production deployment 2-4 weeks ### AI Governance EU AI Act compliance, ethics frameworks, risk management, and audit procedures 3-5 weeks ### Data Strategy Data architecture, quality assessment, pipeline design, and governance Ongoing ### Change Management Training, adoption programs, internal champion development, and communication Retainer ### Ongoing Advisory Continuous strategic advisory, quarterly reviews, and scaling support Need AI consulting and implementation services across strategy, build, validation, and governance — under one accountable team? [Book a scoping call](#contact-form)[Request a fixed-scope proposal](#contact-form) ## Explore Specialized Services Deep-dive into specific consulting domains [ ### Enterprise AI Strategy Organization-wide AI transformation ](/en/enterprise-ai-strategy)[ ### AI Management Consulting C-suite strategic advisory ](/en/ai-management-consulting)[ ### AI Implementation Consultant From strategy to production ](/en/ai-implementation-consultant)[ ### AI Automation Services Intelligent process automation ](/en/ai-automation-services) ## AI Consulting Services Insights Practical guides to plan, price, and deliver AI consulting engagements — from RFP to production rollout. [AI consultant hourly rate benchmarks 2026](/en/insights/ai-consulting-pricing-2026)[AI consulting RFP template and request-for-proposal checklist](/en/insights/ai-consulting-rfp-template)[AI implementation consulting with support and training](/en/insights/ai-implementation-consulting)[AI strategy consulting guide for enterprise leaders](/en/insights/ai-strategy-consulting-guide)[AI automation consulting: scoping and delivery](/en/insights/ai-automation-consulting-guide)[Custom AI development consulting vs building in-house](/en/insights/ai-consulting-vs-in-house-ai)[AI consulting case studies with measurable results](/en/insights/ai-consulting-case-studies)[Best AI consulting firms 2026 shortlist](/en/insights/best-ai-consulting-firms-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 are AI consulting services? AI consulting services are professional advisory and engineering engagements that take an organisation from AI strategy through implementation, governance and managed operations. Standard services include discovery sprints, roadmap consulting, implementation, training, EU AI Act compliance and ongoing optimisation — typically priced fixed or as monthly retainers. ## Frequently Asked Questions Everything you need to know about our AI consulting services ### What AI consulting services do you offer? Alice Labs offers end-to-end AI consulting covering strategy, implementation, and governance. Our services include AI strategy development and roadmapping, use-case identification and prioritization, data strategy and architecture, AI/ML model development and deployment, system integration, AI governance and EU AI Act compliance, change management and training, and ongoing advisory. We serve as a single partner across the full AI lifecycle—from initial assessment to production operations. ### How do I choose the right AI consulting firm? Evaluate AI consulting firms on five criteria: 1) Technical depth—can they build what they recommend? 2) Industry experience—do they understand your sector? 3) Delivery track record—ask for references and case studies. 4) Strategic + technical capability—strategy-only firms can't implement; technical-only firms may miss the bigger picture. 5) Cultural fit—AI consulting requires close collaboration. Alice Labs combines all five: we have senior engineers, industry expertise, 100+ deliveries, and both strategic and technical capabilities. ### What are typical AI consulting pricing models? AI consulting is typically priced in three models: Project-based (fixed scope and price, €30,000-€300,000 depending on complexity), Time & Materials (€200-€350/hour for senior consultants), and Retainer (ongoing advisory at €10,000-€30,000/month). Strategy-only engagements are usually project-based. Implementation work often uses T&M for flexibility. Ongoing advisory is retainer-based. We recommend starting with a scoped assessment before committing to larger engagements. ### What does a typical AI consulting engagement process look like? Our engagement process follows four phases: 1) Discovery (1-2 weeks): stakeholder interviews, current state assessment, opportunity mapping. 2) Strategy & Design (2-4 weeks): use-case prioritization, architecture design, ROI modeling, roadmap creation. 3) Implementation (8-16 weeks): development, integration, testing, deployment. 4) Optimize & Scale (ongoing): monitoring, iteration, expansion to new use cases. Many clients start with just phases 1-2 before deciding on implementation. ### What deliverables do we receive from AI consulting? Deliverables vary by engagement type. Strategy engagements include: AI opportunity assessment, prioritization matrix, architecture recommendations, ROI model, governance framework, and implementation roadmap. Implementation engagements deliver: production-ready AI systems, technical documentation, API specifications, monitoring dashboards, and team training. All engagements include executive-ready presentations and clear next-step recommendations. ### What team composition do you bring to AI consulting projects? Our typical project team includes: an engagement lead (strategic direction and stakeholder management), AI/ML engineers (model development and deployment), data engineers (pipeline and infrastructure), solution architects (system design and integration), and domain consultants (industry-specific expertise). Team size scales from 2-3 for strategy engagements to 5-8 for complex implementations. Every team member has 5+ years of relevant experience. ### Do you work remotely or onsite? We work in the model that best serves each engagement. Strategy workshops and stakeholder alignment sessions are most effective onsite or in hybrid settings. Technical implementation work is primarily remote, with regular onsite presence for integration points and knowledge transfer. For Nordic clients, we can maintain regular onsite presence. For international clients, we use a remote-first model with strategic onsite visits at key milestones. ### What is your Nordic and EU focus? While we serve clients globally, we have deep expertise in Nordic and European markets. This means: native understanding of EU AI Act and GDPR compliance requirements, experience with Nordic business culture and decision-making processes, local presence in Sweden, knowledge of European data sovereignty considerations, and multilingual capabilities (Swedish, English, and more). For EU-based organizations, working with a European AI consulting firm reduces regulatory and data residency complexity. ### How do you handle security and GDPR compliance? Security and compliance are foundational to every engagement. We conduct data classification before any AI development, design systems with privacy-by-design principles, ensure GDPR-compliant data processing and storage, implement access controls and audit trails, address EU AI Act risk classification for all AI systems, sign NDAs and DPAs as standard practice, and can work within your infrastructure to avoid data transfer. Our consultants are trained in EU regulatory requirements. ### How do you measure AI consulting success? We define success metrics collaboratively at engagement start. Common measures include: business KPIs (cost reduction, revenue impact, efficiency gains), technical metrics (model accuracy, system uptime, processing speed), adoption metrics (user engagement, process compliance), strategic metrics (time-to-value, portfolio coverage, governance maturity), and ROI realization (actual vs. projected returns). We provide regular reporting and conduct formal reviews at 30, 60, and 90 days post-delivery. ### What do AI consulting and implementation services include end-to-end? AI consulting and implementation services combine advisory and delivery in one engagement: strategy and use-case prioritization, data readiness assessment, model selection and development, MLOps and integration into existing systems, EU AI Act and GDPR governance, change management, and post-launch monitoring. Alice Labs runs all phases under a single accountable team, so strategy decisions translate directly into working systems instead of being handed off to a separate vendor. Typical scopes range from 12 weeks (single use case) to 12 months (enterprise-wide rollout). ### How are AI implementation consulting services structured? AI implementation consulting services typically follow a four-stage delivery model: (1) Solution design and architecture (2-4 weeks), (2) Build and integrate — model development, API connections, security hardening (6-12 weeks), (3) Test and validate — functional, performance, and bias testing (2-3 weeks), and (4) Deploy and operate — production cutover, monitoring, and team handover (2-4 weeks). We staff each project with a senior engineer-led pod (architect, ML engineer, data engineer, domain consultant) and provide fixed-scope pricing for predictable budgets. ### What does AI testing consulting services cover? AI testing consulting services cover the validation layer that traditional QA cannot: functional testing of model outputs, performance and latency benchmarking, bias and fairness audits, adversarial and robustness testing, drift detection setup, and compliance testing against the EU AI Act risk classification. We build test suites that run continuously in CI/CD pipelines, so AI systems are validated not only at launch but on every model update. Test coverage is documented for audit purposes — critical for regulated industries like finance, healthcare, and public sector. ### What is AI verification consulting and AI validation consulting? AI verification consulting confirms a model does what it was specified to do (correctness against requirements). AI validation consulting confirms the model does the right thing in the real world (fitness for purpose against business outcomes). Both are required under the EU AI Act for high-risk systems. Our process includes formal requirements traceability, statistical performance validation on held-out and production data, human-in-the-loop review for edge cases, and signed-off validation reports that satisfy auditor and regulator requests. ### What is AI algorithm consulting and when do you need it? AI algorithm consulting is specialist advisory on selecting, designing, or tuning the underlying algorithms that power an AI system — choosing between classical ML, deep learning, foundation models, or hybrid approaches; designing custom architectures when off-the-shelf models underperform; and optimizing for cost, latency, accuracy, and explainability trade-offs. Most enterprises need it when stock models fail on domain-specific data, when regulatory constraints require explainable approaches, or when production cost makes large general-purpose models economically unviable. ### How does AI process planning consulting work? AI process planning consulting maps the business processes where AI will create the highest leverage, then designs the future-state workflow including human-in-the-loop checkpoints, escalation paths, and exception handling. Our process: (1) document current state with process mining and stakeholder interviews, (2) identify AI insertion points using value-effort scoring, (3) redesign the workflow with AI in-the-loop, (4) define KPIs and governance gates, (5) build the change plan. The output is an implementation-ready blueprint, not a slide deck. ### What do AI system implementation consultants actually deliver? AI system implementation consultants deliver production AI systems, not prototypes. A typical Alice Labs engagement produces: deployed and integrated AI services running in your cloud or on-prem environment, full source code and documentation, CI/CD and MLOps pipelines, monitoring and alerting dashboards, security and compliance documentation (EU AI Act, GDPR, ISO 42001 alignment), runbooks for your operations team, and a 30/60/90-day post-launch support window. We hand over working systems your engineers can own. ### What are AI consulting and implementation services in 2026? AI consulting and implementation services in 2026 combine strategy, build, and governance into a single accountable engagement. The 2025 Stanford AI Index found 78% of organizations reported using AI in at least one business function, up from 55% the prior year — but scaling beyond a single use case still requires integrated advisory. A typical scope runs 12-26 weeks, covers one to three prioritized use cases, and produces production systems plus an EU AI Act conformity file for each high-risk deployment. ### What does AI implementation consulting services cost for a mid-sized enterprise? For a mid-sized European enterprise, a single-use-case AI implementation consulting engagement typically runs €120,000-€280,000 over 12-16 weeks. This covers a four-person pod (architect, ML engineer, data engineer, domain consultant), one production deployment, MLOps setup, and 30-day post-launch support. Multi-use-case programs scale to €500,000-€1.5M over 6-12 months. Fixed-scope contracts are standard for the first deployment; retainers of €15,000-€30,000/month cover ongoing optimization. Have more questions? Let's talk. No commitment - just a conversation about what AI can do for your business. Book a Call ## Ready to Start Your AI Journey? 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