Abstract purple and turquoise background representing AI consulting and implementation services at Alice Labs
    AI implementation consultants that deliver results

    AI Implementation Consultant &
    Consulting Services

    What is an AI implementation consultant?

    An AI implementation consultant guides an organisation from identifying high-ROI AI use cases to deploying, integrating and scaling AI solutions in real business processes — including strategy, technical build, team training and governance. At Alice Labs, strategy and hands-on delivery are handled by the same senior team, with 85% of clients seeing measurable ROI within 12 months across 100+ enterprise engagements.

    End-to-end AI implementation consulting — from opportunity mapping and pilot to full-scale rollout. Trusted by enterprises across Europe. We identify opportunities, build pilots, implement and scale – with measurable ROI at every stage. New to the category? Read our primer on what AI consulting is and how to choose the right AI consultant for your buying situation.

    85%
    see ROI within 12 months
    €1M+
    saved annually by clients
    100+
    organizations helped
    See Our Services

    No long-term contracts — fixed-price engagements available

    End-to-end AI implementation consulting
    Fast ROI with clear KPIs
    Integration with your systems

    Where are you starting from?

    Results From Our Clients

    Verified outcomes from completed AI implementations

    AI AgentFood & Grocery

    AI Agent for Order Management

    Ljusgårda (Supernormal Greens)

    $250K/year saved
    • 83% cost reduction
    • 70-80% automation
    • 6-week implementation
    AI AutomationPublic 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 AutomationMedia & Publishing

    AI-Driven Content Production

    Media Company

    $40K/month revenue
    • $100K first year
    • $40K/month recurring
    • 12-month build-up

    Part of the Team That Delivers

    An experienced team with broad AI and tech background from leading companies

    Linus Ingemarsson, Co-founder & AI Consultant

    Linus

    Co-founder & AI Consultant

    Alice, CEO & Co-founder

    Alice

    CEO & Co-founder

    Jens, AI Consultant

    Jens

    AI Consultant

    Eric, Co-founder & AI Consultant

    Eric

    Co-founder & AI Consultant

    Lisa, Project Manager & Implementation Lead

    Lisa

    Project Manager & Implementation

    What an AI Implementation Consultant Actually Does

    Concrete work that creates value – from mapping to implementation and scale

    An AI implementation consultant guides your organisation from identifying high-ROI use cases to deploying, measuring and scaling AI solutions in real business processes. At Alice Labs, our consultants combine strategy, technical build and change management — so you get results, not just a roadmap. Weighing external delivery against internal hires? See our comparison of AI consulting vs in-house development and the AI consulting engagement models most enterprises actually use.

    ~30%

    of enterprise AI projects reach production-grade ROI; the other 70% stall in pilot or fail to scale.

    Source: Gartner →
    ~10%

    of organisations that have piloted gen AI have actually scaled it to production — the gap is implementation, not strategy.

    Source: McKinsey State of AI →
    3x

    scaling-success rate for companies engaging external AI expertise during pilot-to-production — vs. building entirely in-house.

    Source: BCG AI at Scale →
    85%

    of Alice Labs clients see measurable ROI within 12 months across 100+ enterprise AI implementations.

    Source: Alice Labs engagement data 2024–2026

    What We Do

    • •Map your processes and identify AI opportunities
    • •Prioritize use-cases with the greatest business impact
    • •Design solutions and select the right technology stack
    • •Build pilots that test hypotheses in real processes
    • •Secure data flows and integrations with existing systems
    • •Train teams and establish AI competence internally
    • •Establish governance, security and policies
    • •Measure ROI and scale successful implementations

    Why Now?

    • Competitors are moving fast – competitive advantage is built in months, not years
    • GenAI enables automation of 10-30% of administrative hours
    • Proper governance reduces risk and accelerates adoption
    • The first step is crucial – we help you take it right

    What to Look for in an AI Implementation Consultant

    Strategy AND hands-on delivery

    Most firms do one or the other. End-to-end means the strategy team also builds — no handoffs, no gaps.

    Fixed-price pilots available

    De-risks the first engagement. You should be able to test before committing to full implementation.

    Defined ROI metrics upfront

    Ask for specific KPIs agreed before the project starts — hours saved, error rate, cost per process.

    EU AI Act & GDPR native

    European implementations need compliance built in, not bolted on. Critical for HR, finance and public sector.

    Knowledge transfer included

    You should own the AI capability at the end — not depend on the consultant indefinitely.

    Sector-relevant case studies

    Generic AI experience ≠ domain expertise. Ask for examples in your industry with named metrics.

    Why AI Implementations Fail — and How We Prevent It

    70% of enterprise AI projects fail to reach production. The causes are predictable and avoidable — the biggest predictor of success is how you prove AI consulting ROI before you commit budget.

    Unclear ROI from day one

    Alice Labs: We agree KPIs before the first line of code. No vague 'efficiency gains' — specific, measurable targets only.

    Pilot-to-production gap

    Alice Labs: Our pilots are built production-ready from the start. Architecture, security and integrations designed for scale.

    No change management

    Alice Labs: Every engagement includes hands-on team training. AI competence stays inside your organisation, not with us.

    Data and integration surprises

    Alice Labs: We run a data readiness check in week 1. If your data isn't ready, we tell you — and help you fix it first.

    Wrong use case prioritised

    Alice Labs: Our discovery methodology scores use cases by ROI, feasibility and data readiness — not by what's trendy.

    Vendor lock-in

    Alice Labs: We recommend best-in-class tools for your context, not platforms we're paid to sell. Fixed-price means our incentives align with yours.

    Our AI Consulting & Implementation Services

    From strategy to scale – we're with you every step of the way

    AI Strategy & Implementation Planning

    Prioritized use-cases, KPIs and data architecture that becomes your roadmap forward.

    Discovery Sprint

    2-4 weeks from hypothesis to decision basis with concrete recommendations.

    Rapid AI Pilot (2–6 Weeks)

    Build, test and measure in real processes before full scaling.

    Full AI Implementation Services

    Integrations (API/RPA), data pipelines, UI and tools that work.

    AI Automation Consulting

    Customer service, sales/marketing, reporting – automated and intelligent.

    Prompt Templates & Knowledge Base

    Your team's "operating system" for AI – ready-made templates and best practices.

    Governance & Security

    Policy, permissions, logging and compliance that creates confidence.

    AI Training & Team Enablement

    Hands-on training so that AI competence stays in your organization.

    Scale & Management

    Ongoing support to expand, improve and secure your AI solutions.

    No long-term contracts • Response within 24h

    Specialized AI Engagements

    Dedicated delivery models for specific buyer contexts - enterprise, European multi-market, fully managed and partner-led.

    How We Work – Step by Step

    From first call to scalable AI implementation

    1

    Discovery

    0-2 weeks

    Workshops, current state, data readiness and use-case prioritization

    2

    Pilot

    2-6 weeks

    Hypothesis → solution → measurement of time, quality and results

    3

    Implementation

    4-12 weeks

    Integration, rollout, training and change management

    4

    Scale & Manage

    Ongoing

    Improve, expand and ensure governance continuously

    Example KPIs We Measure

    Hours Saved/Week

    10-30% time savings

    Processing Time

    50-70% faster

    Quality & Compliance

    Measurably better outcomes

    AI Implementation Results: Before vs After

    Aggregated metrics from real AI consulting and implementation projects

    Metric Before AI After AI Implementation Improvement
    Manual hours/week 40+ hours 12-16 hours 60-70% reduction
    Document processing time 2-4 hours per document 10-30 minutes 85% faster
    Error rate 5-8% manual errors <1% with AI validation 90% fewer errors
    Cost per process €50-200 per task €5-30 per task 75-85% savings
    Time to ROI N/A 3-12 months 85% see ROI in year 1

    Based on aggregated data from 100+ AI implementation projects across multiple industries

    AI Implementation Across Industries

    We've helped organizations in these sectors achieve measurable AI ROI

    Enterprise AI Consulting & Implementation in Europe

    Alice Labs is a Stockholm-based AI consultancy working with mid-market and enterprise clients across the Nordic region and Europe. We help organisations in Finance, Manufacturing, Professional Services and Healthcare identify, build and scale AI solutions that deliver measurable business value. If you are specifically evaluating an AI consultancy in Stockholm or AI consultants in the Nordics, we publish market-specific guides for both.

    Whether you need an AI implementation advisor for a contained pilot or an end-to-end AI consulting partner for organisation-wide transformation — we adapt to your scope, timeline and budget. For a broader buyer view, see our enterprise AI consulting guide and our benchmarks on the average AI consultant hourly rate in 2026. Comparing alternatives? Read our deep-dive on the best AI implementation partners 2026.

    AI IMPLEMENTATION EXPERT & SPEAKER

    Linus Ingemarsson – Founder, Alice Labs

    Linus has helped hundreds of organizations achieve real results from AI consulting and implementation. With a background in both strategy and hands-on implementation, he combines business understanding with technical expertise.

    Alice Labs' philosophy is simple: AI should create measurable value, not just impress in presentations. Every project should lead to concrete improvements that the organization can build upon.

    Follow Linus on LinkedIn

    How We Can Work Together

    Flexible engagement formats adapted to your needs

    Start: Book a Consultation

    We always start with a call where we understand your current situation, goals and priorities. Then we propose an approach that suits you.

    Engagement Formats

    • •Discovery Sprint – rapid assessment and recommendations
    • •Pilot – test a hypothesis with measurable results
    • •Implementation – full integration and rollout
    • •Ongoing Management – continuous support and development

    Discovery Sprint

    2–4 weeks

    AI opportunity mapping, working prototype of top use case, phased roadmap. Fixed price — credited against full implementation.

    Rapid Pilot

    2–6 weeks

    Build and validate the top AI use case in your real environment against agreed KPIs. Production-ready increments.

    Full Implementation

    4–16 weeks

    End-to-end: integrations, data pipelines, security hardening, team training and change management.

    All engagements are fixed-price or capped — no open-ended retainers unless you want them. Pricing depends on scope, integrations and team size.

    Market positioning

    Big-Firm vs Boutique AI Consulting: Where Alice Labs Fits

    When you Google "top AI consulting firms" you get Accenture, McKinsey QuantumBlack, BCG X, Deloitte, Capgemini and IBM. They are excellent at very large, multi-year programs. Alice Labs is built for a different job: a fixed-price 2–4 week sprint, a working pilot, a phased roadmap, and a senior team that ships rather than slides. For a deeper buyer-side breakdown, see our analysis of Alice Labs vs McKinsey QuantumBlack and BCG X.

    Firm Category Typical engagement Delivery model Time to first pilot
    Accenture Global SI $1M–$50M+ Hundreds of consultants, multi-year program 3–6 months
    McKinsey QuantumBlack Tier-1 strategy $500K–$5M Strategy-led, advisory-heavy, implementation handed off 8–16 weeks
    BCG X Tier-1 build unit $1M–$10M+ Cross-functional pods, multi-month builds 8–16 weeks
    Deloitte AI Institute Big Four $500K–$10M+ Audit-adjacent, governance and risk heavy 8–12 weeks
    Capgemini Invent European SI €300K–€10M Strategy + engineering at scale 6–12 weeks
    IBM Consulting Global SI / platform $500K–$25M+ Platform-led (watsonx), long cycles 8–16 weeks
    EY AI Big Four $300K–$5M+ Assurance, EU AI Act readiness, risk frameworks 6–10 weeks
    KPMG AI & Digital Big Four $300K–$5M+ Trusted AI, model governance, audit trail 6–10 weeks
    Alice Labs EU AI boutique €10K–€500K Senior-only team, fixed-price, build & handover 2–4 weeks

    When the global firms are the right choice

    • Group-wide, multi-country AI transformation budgets above €5M
    • Heavy regulatory programs requiring Big Four audit alignment
    • Existing platform commitments (e.g. watsonx, ServiceNow AI, Salesforce Einstein) that need vendor-aligned SI delivery
    • Need for 200+ consultants in parallel across multiple regions

    When Alice Labs is the right choice

    • You want a working pilot in 2–6 weeks, not a 90-slide strategy deck
    • You want senior consultants delivering, not partners selling and juniors building
    • You need EU AI Act, GDPR and EU data residency by default — not as an add-on
    • Budgets in the €10K–€500K range, fixed price, with skin-in-the-game scoping
    • You want the consulting team to hand the build to your internal people, not stay forever

    Ranges above are sourced from public firm materials, industry analyst commentary (Gartner, Forrester, IDC) and Alice Labs engagement data 2024–2026. Competitor names and links are provided for buyer comparison; Alice Labs is not affiliated with the firms listed.

    Validated by

    Standards, Frameworks and Regulations We Deliver Against

    Alice Labs is an independent AI consulting boutique. We are not a Microsoft Gold Partner or an AWS Premier Partner — and we don't pretend to be. What we do hold ourselves to is the same regulatory and standards stack that your audit committee, your DPO and your CISO will ask about. Every engagement is delivered against these references.

    EU AI Act (Regulation 2024/1689)

    Four-tier risk classification (unacceptable, high-risk, limited-risk, minimal-risk). GPAI obligations apply from 2 August 2026, high-risk system obligations from 2 August 2027. We map your AI systems against the Act and deliver the required Risk Management System, Quality Management System and Annex IV technical documentation.

    digital-strategy.ec.europa.eu →

    NIST AI Risk Management Framework (AI RMF 1.0)

    Govern, Map, Measure, Manage. Voluntary US framework used by global enterprises as a baseline for trustworthy AI. Alice Labs aligns governance deliverables to AI RMF, particularly for clients with US operations.

    nist.gov →

    ISO/IEC 42001:2023 — AI Management Systems

    International standard for AI Management Systems (AIMS). Specifies requirements for establishing, implementing and continually improving an AI management system. We design governance to be ISO/IEC 42001 compatible for clients who intend to certify.

    iso.org/standard/81230 →

    ISO/IEC 23894:2023 — AI Risk Management

    ISO guidance on AI risk management aligned to ISO 31000. Provides the risk overlay that complements ISO/IEC 42001. We use ISO 23894 to structure risk registers for high-risk AI use cases (HR, credit, healthcare, critical infrastructure).

    iso.org/standard/77304 →

    GDPR (Regulation 2016/679)

    All Alice Labs AI implementations are GDPR-native with EU data residency by default. Where required, we coordinate with Sweden's IMY and other national supervisory authorities — including DPIAs for high-risk processing.

    gdpr-info.eu →

    OECD AI Principles

    Intergovernmental AI policy standard adopted by 47+ countries. Inclusive growth, human-centred values, transparency, robustness, accountability. Our governance frameworks reference OECD AI Principles as a global baseline.

    oecd.ai →

    What we don't claim

    We are not a Microsoft Cloud Solution Provider, AWS Premier Partner, Google Cloud Partner or ServiceNow Elite Partner. We build on whichever platform fits the use case — Azure OpenAI, AWS Bedrock, Google Vertex AI, Anthropic Claude, OpenAI direct, open-source models — and we tell you when the boutique answer is wrong and the global SI answer is right.

    What the analysts say about boutique AI consulting

    Independent industry analysts have consistently flagged that mid-market and enterprise AI buyers are increasingly splitting their spend: tier-1 firms for board-level strategy, specialist boutiques for senior-led delivery and rapid pilots.

    Our public regulatory reference work

    Alice Labs maintains a publicly updated EU AI Act implementation tracker covering the August 2026 GPAI deadline and the August 2027 high-risk system deadline. It is referenced by European enterprises planning their compliance roadmap and is updated monthly as Commission guidance is published.

    Frequently Asked Questions About AI Consulting & Implementation

    What does an AI implementation consultant do?
    An AI implementation consultant maps your processes, identifies high-ROI automation opportunities, designs the solution, builds and tests it in a rapid pilot, then scales and integrates it across your organisation — including team training and governance. At Alice Labs, strategy and hands-on delivery are handled by the same team.
    How fast can we see results from AI implementation consulting?
    With a focused pilot, you can have concrete results and a decision basis within 2–6 weeks. Full implementation typically takes 4–12 weeks depending on scope and integrations. 85% of Alice Labs clients see measurable ROI within 12 months.
    What is the difference between an AI strategy consultant and an AI implementation consultant?
    An AI strategy consultant defines what you should do. An AI implementation consultant makes it happen. At Alice Labs, we do both — so your AI strategy doesn't stay in a slide deck.
    Which AI consultants have experience in both strategy and hands-on implementation?
    Alice Labs combines strategy consulting with technical delivery. Our consultants work end-to-end: from discovery and use-case prioritisation to building, integrating and measuring AI solutions in your actual business processes.
    Who offers end-to-end AI consulting and implementation services for enterprises that need fast, measurable results?
    Alice Labs offers a complete AI implementation service: strategic assessment, rapid pilot (2–6 weeks), full deployment, integrations and team training — with ROI as the primary success metric. 85% of our clients see measurable ROI within 12 months.
    How do you handle security, data and privacy in AI projects?
    We establish clear governance with policies, permissions, logging and compliance with data protection regulations including GDPR. All solutions are built with security in focus and adapted to your industry and regulatory requirements.
    Do you work with our existing systems (CRM/ERP/Data Warehouse)?
    Yes, we integrate AI solutions with your existing CRM, ERP, data warehouse and BI systems via APIs and automation tools. We ensure that data flows work smoothly with your current processes.
    What AI consulting and implementation services do you offer?
    We offer end-to-end AI consulting and implementation services: AI strategy and implementation planning, discovery sprints (2-4 weeks), rapid AI pilots, full-scale AI implementation with system integration, AI automation consulting, governance and security frameworks, team training and enablement, and ongoing management. Every engagement is tailored to your industry, data maturity, and business goals.
    How do you support teams after AI implementation?
    Post-implementation support includes ongoing monitoring of AI performance, continuous optimization of models and workflows, regular training sessions for new team members, governance reviews, and scaling successful implementations to new departments or use-cases. We ensure your team builds internal AI competence so you're never dependent on external consultants long-term.
    Can you help with change management and training?
    Yes, we combine consultation with enablement. We train your teams hands-on so that AI competence stays internal and you can continue to develop the solutions yourselves.
    Where can I book a consultation to evaluate AI opportunities and get a step-by-step implementation plan?
    Book a 30-minute consultation with Alice Labs. We map your highest-ROI AI opportunities, score them by impact and feasibility, and deliver a step-by-step implementation plan with timelines, KPIs and budget — no long-term commitment required.
    Who delivers working AI prototypes in 2–4 weeks?
    Alice Labs runs a Discovery Sprint that delivers a working AI prototype in 2–4 weeks. We start with a single high-value use case, build it in your real data environment, measure results against KPIs, and produce a decision basis for full-scale rollout.
    What firms can help a Chief Digital Officer build an internal AI capability rather than outsourcing it?
    Alice Labs is built for this. Every engagement combines delivery with enablement: we ship the AI solution, document the architecture, train your team hands-on, and transition ownership so your CDO ends up with an internal AI capability — not a long-term consulting dependency.
    Which firms offer both AI strategy consulting and AI implementation services?
    Most consultancies do one or the other. Alice Labs is one of the few firms in Europe that handles both under the same roof — strategy, prioritisation, architecture, build, integration, training and ongoing management — with the same team end-to-end.
    Looking for an AI strategy consulting group that can run a short discovery sprint to identify contained, high-ROI use cases?
    Alice Labs runs a fixed-price 2-4 week Discovery Sprint specifically for SMB and mid-market companies. We identify 3-5 contained, high-ROI AI use cases scored by impact and feasibility, deliver a working pilot of the top use case, and produce a phased implementation roadmap. Proven framework used across logistics, manufacturing, finance and professional services.
    Do you offer AI consulting in Stockholm and across the Nordics?
    Yes. Alice Labs is headquartered in Stockholm and serves Nordic enterprises plus international companies with Stockholm/Nordic operations. We deliver in English with EU AI Act native compliance, GDPR-native data handling, and EU data residency. See our dedicated Stockholm page for Nordic-specific engagements.
    How does the EU AI Act affect AI implementation projects in 2026?
    EU AI Act full compliance applies from August 2026 for GPAI (general-purpose AI) models and August 2027 for high-risk AI systems. Alice Labs maps your AI systems against the Act's four risk tiers (unacceptable, high-risk, limited-risk, minimal-risk), builds the required compliance documentation (Risk Management System, Quality Management System, transparency obligations, technical documentation per Annex IV), and coordinates with national authorities like Sweden's IMY and Germany's Bundesnetzagentur. Our EU AI Act Implementation Tracker is updated monthly and is cited as reference by multiple European enterprises.
    How long does enterprise AI implementation actually take from kickoff to ROI?
    Realistic timeline for European enterprises based on Alice Labs' 100+ implementations: Discovery 2–4 weeks → Pilot 2–6 weeks → Implementation 4–12 weeks → Scaling 3–6 months. Total time from first call to deployed solution generating measurable ROI: 3–6 months for pilots, 9–12 months for enterprise-wide rollouts. 85% of our clients see measurable ROI within 12 months. Discovery sprints with strict scope are the single biggest predictor of staying on this timeline.
    What is AI operations consulting and when do we need it?
    AI operations consulting embeds AI into core operational processes — supply chain, manufacturing, finance ops, customer ops, logistics — to reduce cost, cycle time and error rates. You need it when operational KPIs are flat-lining despite process improvements. Done-for-you delivery means we own the full stack: discovery, build, integration, training, monitoring.
    Do you offer AI feasibility studies before full implementation?
    Yes. For investments above €100K or novel use cases, we offer 2-4 week fixed-price feasibility studies (€10K-€20K). The deliverable: data audit, technical feasibility, ROI model, risk register, and go/no-go recommendation. Fee credited against full implementation if you proceed. Prevents costly mistakes on uncertain initiatives.
    What firms offer AI talent consulting plus training implementation?
    Alice Labs offers AI capability building combined with hands-on implementation. We train internal teams during delivery (not after), embed AI champions, and transition ownership so you build internal capability — not consulting dependency. We can also help recruit and onboard internal AI engineers as part of a knowledge transfer plan.
    What does an AI implementation consultant do day-to-day?
    An AI implementation consultant spends most of their time on five activities: (1) running discovery workshops to map processes and score use cases by ROI and feasibility, (2) writing technical solution designs (data flows, model selection, integration architecture), (3) building and shipping working AI pilots in the client's real data environment, (4) integrating AI into existing CRM/ERP/data warehouse systems via APIs, and (5) hands-on training of internal teams so the capability stays in-house after handover. At Alice Labs, the same senior consultant handles all five — not handed off to junior delivery teams.
    What are AI implementation services and what do they include?
    AI implementation services are end-to-end engagements that take an AI use case from idea to production. They include: opportunity assessment, data readiness audit, solution architecture, model selection and prompt engineering, build of the working solution, integration with existing systems (CRM, ERP, data warehouse, ticketing), security and governance setup (EU AI Act, GDPR, ISO 42001), UAT, deployment, team training, and post-launch monitoring. Alice Labs typically delivers full AI implementation services in 4–16 weeks for €50K–€500K fixed-price.
    What does AI consulting implementation support and training cover?
    It covers three phases. (1) Implementation support — pair-programming with your internal engineers during build, code reviews, architecture decisions, and unblocking integration issues. (2) Training — hands-on workshops for end-users (how to use the AI in workflows), and technical training for engineers (how to maintain, evaluate and extend models). (3) Post-launch support — typically 30-90 days of monitoring, optimisation and SLA-backed bug fixes. Alice Labs bundles all three into every full implementation engagement at no additional cost.
    What is AI implementation consulting and how is it different from AI strategy consulting?
    AI implementation consulting is execution-focused: building and deploying working AI systems in production. AI strategy consulting is decision-focused: defining what to build, why and in what order. According to McKinsey's State of AI 2024 report (mckinsey.com/capabilities/quantumblack), 70%+ of organisations have piloted gen AI but only ~10% have scaled it — the gap is implementation, not strategy. Alice Labs handles both with the same senior team, which is why our scaling rate is materially higher than industry average.
    What is an AI implementation consultancy and how do I choose one?
    An AI implementation consultancy is a firm specialising in shipping AI solutions to production (versus a pure-strategy advisory). Choose one based on: (1) does the same team that scopes also build (avoid handoffs), (2) fixed-price pilots available to de-risk, (3) defined ROI metrics agreed upfront, (4) EU AI Act and GDPR native if you operate in Europe, (5) knowledge transfer included so you own the capability afterwards, and (6) sector-relevant case studies with named metrics — not generic AI experience.
    What is an AI implementation partner?
    An AI implementation partner is a firm engaged for ongoing AI delivery across multiple use cases and quarters — versus a one-off project consultant. The partner becomes an extension of the client's team: roadmap planning, recurring discovery cycles, prioritisation, build, integration, training and capability transfer. Alice Labs offers a dedicated AI Implementation Partner engagement model for organisations shipping AI to production at scale. See /en/ai-implementation-partner for details.
    Who offers AI consulting and implementation services across Europe?
    Alice Labs offers AI consulting and implementation services across the EU, UK and Nordics, with EU AI Act and GDPR native delivery. Other firms operating across Europe include McKinsey QuantumBlack, BCG X, Accenture, Capgemini Invent, Deloitte AI Institute, IBM Consulting, EY and KPMG — typically at engagement sizes 5–50x larger. The choice depends on your budget, timeline and whether you want a 200-person SI program or a senior boutique team that ships.
    Who is Alice Labs?
    Alice Labs is a Stockholm-headquartered AI implementation consultancy founded in 2023 and serving enterprises across Europe (Sweden, UK, Germany, Netherlands, France, Denmark, Norway, Finland). The team is led by CEO Alice Holmgren and Co-Founders Linus Ingemarsson and Eric Lundberg. We've delivered 100+ AI implementations, with 85% of clients seeing measurable ROI within 12 months. We are EU AI Act and GDPR native, ISO/IEC 42001 compatible, and combine strategy with hands-on delivery under one roof.
    What makes Alice Labs different from other AI consulting firms?
    Four things. (1) Same senior team scopes and builds — no junior delivery layer or hand-offs. (2) Fixed-price 2–4 week Discovery Sprints (€10K–€20K) credited against full implementation, so the first engagement is genuinely de-risked. (3) Build-and-handover model — we transfer ownership so you don't depend on us long-term. (4) EU AI Act and GDPR native by default, with EU data residency — not bolted on as an extra. Where the boutique answer is wrong (e.g. €5M+ multi-country programs) we say so and recommend the right global SI.
    What is an AI consultant?
    An AI consultant is a specialist who helps organisations identify, design, build and scale AI solutions that solve real business problems. The work spans strategy (which use cases, in what order, with what ROI), technical solution design (data, models, integration), implementation (build, deploy, integrate), governance (EU AI Act, GDPR, ISO 42001) and enablement (training internal teams). The best AI consultants are senior practitioners who have both built AI systems in production AND advised at the executive level — at Alice Labs every consultant has done both.
    What do AI consultants typically charge?
    Boutique AI consultants typically charge €10K–€20K for a 2–4 week Discovery Sprint, €25K–€75K for a 2–6 week pilot, and €50K–€500K for a 4–16 week full implementation (fixed-price). Tier-1 strategy firms (McKinsey QuantumBlack, BCG X) and global SIs (Accenture, Deloitte, IBM, Capgemini) typically charge $500K–$50M+ on time-and-materials or multi-year program contracts. Alice Labs publishes fixed prices for transparency; see the Pricing & Engagement section above.
    Are AI consultants worth it for mid-market companies?
    For mid-market companies (€50M–€500M revenue, 200–2000 employees), specialist AI consultants typically pay back in 6–12 months on focused use cases. According to BCG's 2024 AI at Scale survey (bcg.com/publications), companies that engage external AI expertise during the pilot-to-production phase scale ~3x more successfully than those that build entirely in-house. The leverage is highest on the first 2–3 use cases; after that, internal capability should be enough — which is exactly why Alice Labs' model includes knowledge transfer.
    What is an AI implementation expert and what should they have done before?
    An AI implementation expert is a practitioner who has personally shipped multiple AI systems to production — not just advised on slide decks. Look for: 5+ production AI deployments across different industries, hands-on experience with LLM evaluation and prompt engineering, integration work with at least 2–3 enterprise systems (CRM, ERP, data warehouse), governance experience under EU AI Act or NIST AI RMF, and a track record of measurable ROI (hours saved, error rate reduction, revenue lift). At Alice Labs every consultant meets all five criteria.
    What is an AI implementation advisor and when do I need one?
    An AI implementation advisor sits between executive sponsors and delivery teams, providing senior judgement on architecture, vendor selection, risk, and roadmap sequencing — without doing the hands-on build. You need one when: (1) your internal team is building AI but lacks senior implementation experience, (2) you're choosing between vendors or platforms and need an independent view, (3) you're preparing an AI investment case for the board, or (4) you want a sanity check on a Big-Four/SI proposal. Alice Labs offers part-time AI implementation advisor engagements at a fixed monthly rate.
    How long is a typical AI implementation engagement?
    Based on 100+ engagements: Discovery Sprint 2–4 weeks. Rapid Pilot 2–6 weeks. Full Implementation 4–16 weeks. Enterprise-wide scale-out 6–18 months. The single biggest predictor of staying on timeline is keeping the first use case narrow (one process, one team, one KPI) and resisting scope creep. According to Gartner research (gartner.com/en/information-technology), ~85% of AI projects miss their original timeline because of scope expansion mid-build — fixed-price scoping is how Alice Labs prevents this.
    What is the success rate of AI implementations?
    Industry-wide, ~30% of enterprise AI projects reach production-grade ROI; the other 70% stall in pilot or fail to scale (sources: Gartner 2024 AI hype cycle, IDC Worldwide AI services tracker). For Alice Labs specifically, 85% of clients see measurable ROI within 12 months — materially above industry average. The difference is mostly in (a) use case selection, (b) fixed-price discipline preventing scope creep, and (c) knowledge transfer so the solution outlives the engagement.
    Can AI consultants work with our internal engineering team?
    Yes, and this is often the best model. Alice Labs runs three collaboration patterns: (1) Pair-programming during the pilot so your engineers learn by doing, (2) Pod model where our consultants and your engineers share a backlog and rotate ownership, and (3) Pure handover where we build the first version and your team takes it from week 8 onwards. The right pattern depends on your team's current AI maturity — we recommend the lightest-touch option that still hits the ROI deadline.

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