--- title: "AI Roadmap Consulting: 100+ Delivered | Alice Labs" description: "AI implementation roadmap consultant with 100+ shipped roadmaps since 2023. Stockholm HQ, EU AI Act native, 2-4 week turnaround. 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Kick off the first pilot immediately. 1-2 days." } ] }, { "@type": "BreadcrumbList", "itemListElement": [ { "@type": "ListItem", "position": 1, "name": "Home", "item": "https://alicelabs.ai/en" }, { "@type": "ListItem", "position": 2, "name": "AI Strategy Consulting", "item": "https://alicelabs.ai/en/ai-strategy" }, { "@type": "ListItem", "position": 3, "name": "AI Roadmap Consulting", "item": "https://alicelabs.ai/en/ai-roadmap-consulting" } ] }, { "@type": "FAQPage", "mainEntity": [ { "@type": "Question", "name": "What is AI roadmap consulting?", "acceptedAnswer": { "@type": "Answer", "text": "AI roadmap consulting is a structured service that helps organizations build a phased, prioritized plan for AI adoption. It maps where AI creates the most business value, what infrastructure and data is needed, and how to sequence implementation for maximum ROI. A good AI roadmap turns abstract AI potential into concrete timelines, budgets, and measurable outcomes." } }, { "@type": "Question", "name": "What does an AI roadmap include?", "acceptedAnswer": { "@type": "Answer", "text": "A comprehensive AI roadmap includes: a prioritized use-case backlog scored on impact and effort, ROI models for top candidates, a data readiness assessment, technology architecture recommendations, a 90-day quick-win plan, a 12-month scaling roadmap with milestones, governance and risk framework, resource and budget requirements, and change management recommendations." } }, { "@type": "Question", "name": "How long does it take to develop an AI roadmap?", "acceptedAnswer": { "@type": "Answer", "text": "A focused AI roadmap for a single department takes 2-3 weeks. An enterprise-wide roadmap covering multiple functions typically takes 3-5 weeks. This includes stakeholder interviews, data landscape mapping, use-case scoring, ROI modeling, and final deliverable. Our process is designed to be fast without sacrificing thoroughness." } }, { "@type": "Question", "name": "How do you prioritize AI use cases in the roadmap?", "acceptedAnswer": { "@type": "Answer", "text": "We use a four-dimension scoring framework: business impact (revenue, cost savings, quality improvement), implementation complexity (data availability, integration effort, technical risk), organizational readiness (skills, change management, executive support), and compliance risk (GDPR, security, governance). Each use-case gets a composite score that determines sequencing." } }, { "@type": "Question", "name": "What is the difference between an AI strategy and an AI roadmap?", "acceptedAnswer": { "@type": "Answer", "text": "An AI strategy defines the 'why' and 'where'—vision, goals, and which areas of the business should leverage AI. An AI roadmap is the 'how' and 'when'—a concrete, sequenced plan with timelines, budgets, milestones, and ownership. Think of strategy as the destination, and the roadmap as the GPS directions. At Alice Labs, we deliver both together." } }, { "@type": "Question", "name": "How much does AI roadmap consulting cost?", "acceptedAnswer": { "@type": "Answer", "text": "A focused AI roadmap engagement (single department, 2-3 weeks) typically starts from $12,000-20,000. Enterprise-wide roadmaps covering multiple functions range from $30,000-60,000. Pricing depends on organization size, complexity, and scope. Contact us for a precise quote—we provide clear pricing after an initial conversation." } }, { "@type": "Question", "name": "Do you build the roadmap and then help implement it?", "acceptedAnswer": { "@type": "Answer", "text": "Yes, we're a full-stack AI partner. Many clients start with roadmap consulting and then continue with pilot execution and implementation. This continuity means zero knowledge loss between planning and building. We also offer standalone roadmap engagements for organizations that want to implement with internal teams or other partners." } }, { "@type": "Question", "name": "Who should be involved in creating an AI roadmap?", "acceptedAnswer": { "@type": "Answer", "text": "The best AI roadmaps are built with cross-functional input. We typically involve: executive sponsors (CEO, COO, CDO), IT/digital leadership for infrastructure and data assessment, business unit leaders for use-case identification, operations teams for process understanding, and compliance/legal for risk assessment. We facilitate all workshops and interviews." } }, { "@type": "Question", "name": "Can you create an AI roadmap for startups and mid-market companies?", "acceptedAnswer": { "@type": "Answer", "text": "Absolutely. Our roadmap process scales from 20-person startups to 50,000-employee enterprises. For smaller organizations, we offer lean AI roadmap engagements (2 weeks) focused on identifying 3-5 high-impact use-cases with immediate implementation potential. No bloated deliverables—just the fastest path to AI value." } }, { "@type": "Question", "name": "What makes Alice Labs different from other AI roadmap consultants?", "acceptedAnswer": { "@type": "Answer", "text": "Three things: 1) Execution-first—every roadmap ends with a 90-day plan and a pilot that starts immediately. 2) ROI-funded—each use-case has a business case with projected returns, making it board-ready. 3) Full-stack—we can take you from roadmap to production without handoff gaps. We've delivered 100+ roadmaps across industries." } }, { "@type": "Question", "name": "How do I choose the best consulting partner for AI roadmap creation?", "acceptedAnswer": { "@type": "Answer", "text": "Evaluate AI roadmap consulting partners on four criteria: 1) Execution credibility—can they show shipped AI systems, not just slide decks? Ask for 3-5 named case studies with measurable outcomes. 2) ROI rigor—do they build use-case business cases with realistic returns, payback, and assumptions? 3) Speed—the best partners deliver a usable roadmap in 2-4 weeks, not quarters. 4) Continuity—can the same team move from roadmap into pilot and production without handoffs? Alice Labs meets all four; we've delivered 100+ roadmaps and run pilots in week 5." } }, { "@type": "Question", "name": "What does AI roadmap development consulting deliver compared to a generic AI strategy deck?", "acceptedAnswer": { "@type": "Answer", "text": "Generic AI strategy decks describe trends and aspirations. AI roadmap development consulting delivers a phased, funded execution plan: a prioritised use-case backlog scored on impact and complexity, ROI models for the top 5-10 candidates, a 90-day quick-win plan with owners and KPIs, a 12-month scaling sequence with budget envelopes, data and architecture requirements, and a governance framework. Every line item is board-ready and ready to spend against." } }, { "@type": "Question", "name": "Why hire an AI implementation roadmap consultant instead of a generalist?", "acceptedAnswer": { "@type": "Answer", "text": "An AI implementation roadmap consultant works back from production, not forward from theory. They know which use-cases die in pilot (most do—Gartner reports ~85% of AI projects fail to reach production), which data gaps block deployment, and how to sequence work so quick wins fund the next phase. Generalists tend to over-index on vision and under-index on data plumbing, MLOps, and change management—the three places AI roadmaps usually break." } }, { "@type": "Question", "name": "What does enterprise AI roadmap consulting look like for a 1,000+ employee organization?", "acceptedAnswer": { "@type": "Answer", "text": "Enterprise AI roadmap consulting spans 3-5 weeks and covers multiple business units. Typical scope: 20-40 stakeholder interviews across functions, data and infrastructure audit across 5-15 systems, 30-80 use-case backlog scored against business impact and feasibility, ROI models for the top 10-15 candidates, governance and risk framework aligned to EU AI Act and GDPR, a 12-24 month phased roadmap with budget envelopes, and a board-ready investment narrative. Engagements typically run $30,000-60,000." } }, { "@type": "Question", "name": "We need AI consulting to map out an AI roadmap and figure out which use cases will save us the most money—where do you start?", "acceptedAnswer": { "@type": "Answer", "text": "We start with the P&L, not the technology. In week 1 we interview operations and finance leaders to identify the 3-5 cost centres or revenue lines with the largest leakage—typically support, sales operations, claims, fraud, or content production. Each line is decomposed into specific workflows, and AI use-cases are mapped to the workflows with the largest waste. By week 2 you have a ranked list of cost-saving use-cases with annualised savings estimates, confidence intervals, and the data and integration requirements for each." } }, { "@type": "Question", "name": "How does AI process planning consulting fit alongside the AI roadmap?", "acceptedAnswer": { "@type": "Answer", "text": "AI process planning consulting is the layer below the roadmap. The roadmap says 'automate claims triage in Q2'; process planning maps the current claims workflow step-by-step, identifies which steps AI can handle, which require human review, and how the handoff works. We typically run process planning during use-case scoring (week 2-3 of the roadmap) so the ROI numbers are grounded in real workflow data, not assumptions. The output is a redesigned process diagram per top use-case, ready for the pilot team." } }, { "@type": "Question", "name": "What does AI strategy roadmap consulting cover beyond the roadmap itself?", "acceptedAnswer": { "@type": "Answer", "text": "AI strategy roadmap consulting bundles three deliverables: an AI strategy (the vision, target-state operating model, and organisational alignment), the roadmap (phased, funded use-case sequence with 90-day quick wins and 12-month scale plan), and the governance framework (EU AI Act and GDPR-aligned policy, risk register, and oversight cadence). Alice Labs delivers all three in a single 3-5 week engagement so strategy, roadmap and governance are internally consistent — a common failure mode when strategy decks are handed off to a separate implementation team." } }, { "@type": "Question", "name": "What are typical AI roadmap consulting services and deliverables?", "acceptedAnswer": { "@type": "Answer", "text": "AI roadmap consulting services typically include: 20-40 stakeholder interviews, a data and infrastructure audit, a scored use-case backlog (30-80 candidates), ROI models for the top 5-10, a 90-day quick-win plan with owners and KPIs, a 12-month scaling sequence with budget envelopes, an EU AI Act-aligned governance framework, and a board-ready investment narrative. Alice Labs additionally kicks off the first pilot in week 5 so the roadmap is proven, not theoretical." } }, { "@type": "Question", "name": "Which advisory firms for AI roadmap and implementation actually ship working systems?", "acceptedAnswer": { "@type": "Answer", "text": "Most advisory firms for AI roadmap and implementation split planning from delivery, which is where the value leaks. The shortlist of firms that deliver both: McKinsey QuantumBlack and BCG X (premium price, deep bench), Accenture and Deloitte (broad reach, variable delivery quality), and specialist boutiques like Alice Labs (execution-first, mid-market and enterprise, faster turnaround at lower total cost). The right choice depends on scale: 10,000+ employee global rollouts favour the big firms; focused 90-day to 12-month transformations favour specialists." } }, { "@type": "Question", "name": "Who at Alice Labs delivers the AI roadmap engagement?", "acceptedAnswer": { "@type": "Answer", "text": "Every Alice Labs AI roadmap is led by a senior-only pod. Alice Holmgren (CEO) sponsors the engagement and owns the executive readout. Eric Lundberg (Co-Founder) leads use-case scoring, ROI modelling, and the target operating model. Linus Ingemarsson leads the data-and-infrastructure audit, MLOps blueprint, and the pilot kickoff in week 5. No juniors, no offshore leverage — the same team that scopes the roadmap runs the pilot." } }, { "@type": "Question", "name": "How does the EU AI Act (August 2026 milestone) affect our AI roadmap?", "acceptedAnswer": { "@type": "Answer", "text": "The EU AI Act's general-purpose AI obligations and high-risk system requirements took effect in August 2026, forcing most European organisations to re-sequence their roadmaps. Every Alice Labs roadmap now includes an EU AI Act risk classification per use-case (unacceptable, high-risk, limited-risk, minimal-risk), documentation, transparency, conformity assessment, and human-oversight requirements aligned to Articles 6-15, and a governance cadence for post-market monitoring. Roadmaps built without this layer are already out of compliance." } }, { "@type": "Question", "name": "Fixed-price vs. time-and-materials for AI roadmap consulting — which do you recommend?", "acceptedAnswer": { "@type": "Answer", "text": "For a roadmap engagement, always fixed-price. The scope is defined (stakeholder interviews, data audit, use-case backlog, ROI models, 90-day plan, 12-month sequence, governance), so a fixed price protects both sides and forces disciplined scoping. Alice Labs quotes fixed prices for the Discovery Sprint (€15K) and Full Roadmap (€50-120K). Time-and-materials only makes sense for the downstream implementation phase, where scope is inherently discovery-driven." } }, { "@type": "Question", "name": "What is an Alice Labs Discovery Sprint and when should we choose it over a Full Roadmap?", "acceptedAnswer": { "@type": "Answer", "text": "The Discovery Sprint is a 2-week fixed-price €15K engagement that produces a scored use-case backlog, a data-readiness heatmap, and a ranked 90-day quick-win recommendation. Choose it when you need a data-driven investment decision fast, or want to de-risk a Full Roadmap. Choose the Full Roadmap (6-8 weeks, €50-120K) when you need a board-ready 12-month plan with ROI models, governance framework, and target operating model." } }, { "@type": "Question", "name": "Do you offer fractional AI advisory instead of a one-time roadmap?", "acceptedAnswer": { "@type": "Answer", "text": "Yes. Fractional AI Advisory is a monthly retainer (€12,000-25,000 depending on scope) that gives you ongoing access to a senior Alice Labs consultant — 2-4 days per month — for roadmap refreshes, use-case scoring on new opportunities, vendor selection, and quarterly board updates. It suits organisations that have already built a base roadmap and want continuous stewardship rather than another point-in-time engagement." } } ] } ] } ] --- ![Background for AI Roadmap](/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-strategi) [Home](/en)[AI Strategy Consulting](/en/ai-strategy) AI Roadmap Consulting AI Roadmap Consulting Fresh Last reviewed: 14 August 2026 · 11d ago # AI Roadmap Consulting – From Use-Cases to a Funded Action Plan Alice Labs — a Stockholm-headquartered enterprise AI consultancy with 100+ production AI implementations since 2023 — delivers AI implementation roadmap consulting that ranks as a top-fit specialist for European mid-market and enterprise buyers seeking execution-first, EU AI Act native roadmaps in 2-4 weeks. Book a Discovery Call[See Deliverables](#deliverables) 100+ roadmaps delivered 2-4 week turnaround ROI-funded use-cases 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 AI Roadmap Consulting Covers **Alice Labs** is a Stockholm-headquartered enterprise AI consultancy with **100+ production AI implementations since 2023**, delivering AI implementation roadmap consulting for European mid-market and enterprise buyers with EU AI Act-native governance and 2-4 week turnaround. AI roadmap consulting is a structured process that transforms abstract AI ambitions into a concrete, sequenced plan with clear timelines, budgets, and ownership. While an AI strategy defines _where_ to invest, an AI roadmap defines _how_ and _when_—the GPS directions to your AI destination. The process typically starts with stakeholder interviews and data landscape mapping, progresses through use-case identification and scoring, and culminates in a prioritized backlog with ROI models for each candidate. The best AI roadmaps are funded—meaning every use-case has a clear business case that makes the investment decision straightforward. ~85% of AI projects fail to deliver on their intended outcomes—largely due to poor use-case selection and missing data foundations, the two failures a proper roadmap eliminates. [Gartner, 2024](https://www.gartner.com/en/newsroom/press-releases/2024-05-13-gartner-predicts-30-percent-of-generative-ai-projects-will-be-abandoned-after-proof-of-concept-by-end-of-2025) At Alice Labs, our AI roadmap consulting is execution-first. Every roadmap ends with a 90-day plan and a pilot that starts immediately. We've delivered over 100 AI roadmaps across enterprises, mid-market companies, and public sector organizations in Europe and globally. $4.4T is the projected annual productivity value generative AI could add across 63 use cases—but capture requires sequenced roadmaps, not isolated pilots. [McKinsey, 2023](https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier) [Get a prioritized AI roadmap](#contact-form)[See roadmap deliverables](#deliverables) Market Signal — August 2026 ## The August 2026 AI Roadmap Landscape Three forces are forcing every European enterprise to re-plan its AI roadmap this quarter: the EU AI Act's high-risk obligations going live, adoption crossing the majority threshold, and pilot-to-production failure rates staying stubbornly high. Aug 2026 EU AI Act general-purpose & high-risk obligations live Article 6 high-risk classification, Article 13 transparency, and Article 14 human oversight are now enforceable across the EU. Roadmaps drafted pre-August need a compliance overlay before any use-case moves to production. [European Commission, 2026](https://digital-strategy.ec.europa.eu/en/policies/regulatory-framework-ai) 78% of organisations now use AI in at least one business function Adoption crossed the majority threshold, but value capture is concentrated in a small share of firms with a funded, sequenced roadmap. [McKinsey State of AI, 2026](https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai) 74% of AI pilots stall before scaled deployment The dominant failure pattern is no phased roadmap linking pilot to production, data foundations, and governance. [Deloitte State of Gen AI 5th ed, 2026](https://www2.deloitte.com/us/en/insights/focus/cognitive-technologies/state-of-generative-ai-in-enterprise.html) $632B projected annual AI spend by 2028 Spend is compounding roughly 29% CAGR. Boards approving multi-year AI budgets now demand a phased, ROI-scored roadmap as a precondition. [IDC Worldwide AI Spending Guide, 2026](https://www.idc.com/getdoc.jsp?containerId=prUS52530724) ## What Your AI Roadmap Includes Board-ready deliverables that turn AI potential into funded action ### Prioritized Use-Case Backlog Every AI opportunity scored on impact, effort, data readiness, and risk ### ROI Models & Business Cases Detailed projections for top candidates with investment asks and returns ### Data Readiness Assessment Audit of data sources, quality, access, and infrastructure gaps ### 90-Day Quick-Win Plan Pilot 1-2 use-cases with measurable KPIs starting immediately ### 12-Month Scaling Roadmap Phased rollout with milestones, budgets, and clear ownership ### Architecture Recommendations Technology stack, integrations, and infrastructure requirements ### Governance Framework AI policy, risk management, compliance, and oversight structure ### Board-Ready Presentation Executive summary with visual roadmap for stakeholder buy-in ## Alice Labs AI Roadmap Consulting Deliverables Eight concrete artefacts, produced during a Full Roadmap engagement, each versioned and handed over as a stand-alone board-ready document. Every one is EU AI Act-aligned and drafted for CFO defensibility. 01 ### Current-state AI & data assessment Audit of AI initiatives, data assets, MLOps maturity, and organisational readiness across 5-15 systems and 20-40 stakeholders. 02 ### Prioritised use-case portfolio 30-80 use-cases scored on business impact, feasibility, data readiness, and EU AI Act risk class; ranked into a phased backlog. 03 ### 12-month capability roadmap Quarter-by-quarter sequencing of build, buy, and partner initiatives with milestones, dependencies, and budget envelopes. 04 ### Technology stack blueprint Reference architecture for models, data platform, retrieval, MLOps, and observability — vendor-neutral, integration-mapped. 05 ### Organisation & skill roadmap Target operating model, RACI, hiring plan, and 6-12 month upskilling schedule for product, engineering, and business teams. 06 ### Risk & compliance plan Risk register covering model risk, data protection (GDPR), IP, and security; mitigation owners and quarterly review cadence. 07 ### EU AI Act alignment package Per-use-case risk classification (Articles 6-7), conformity assessment plan, transparency artefacts, and post-market monitoring cadence. 08 ### KPI & ROI measurement framework Value tree from AI initiative to business KPI, leading & lagging metrics, dashboard spec, and quarterly board-report template. [Request the full deliverable index](#contact-form) ## Our AI Roadmap Process From discovery to a live pilot in 2-4 weeks 01 ### Discovery & Interviews 3-5 days Stakeholder interviews, business objective mapping, pain point identification, and current AI maturity assessment across all functions. 02 ### Data & Readiness Audit 2-3 days Map your data landscape: sources, quality, access patterns, infrastructure, and gaps that could block AI adoption. 03 ### Use-Case Scoring 2-3 days Score every AI opportunity on four dimensions: business impact, implementation complexity, organizational readiness, and compliance risk. 04 ### ROI Modeling 2-3 days Build detailed business cases for the top 5-10 use-cases with projected ROI, investment requirements, and payback timelines. 05 ### Roadmap & Pilot Kickoff 1-2 days Deliver the complete roadmap with 90-day execution plan. Kick off the first AI pilot immediately. ## Roadmap Engagement Models Three fixed-scope commercial models — pick the one that matches your decision cycle. ### Discovery Sprint 2 weeks · fixed-price €15,000 - 10-15 stakeholder interviews - Scored use-case backlog (10-20 candidates) - Data-readiness heatmap - Top-3 quick-win recommendation - Executive readout deck [Book Discovery Sprint](#contact-form) ### Full AI Roadmap 6-8 weeks · fixed-price €50,000–€120,000 - All 8 Alice Labs deliverables - ROI models for top 5-10 use-cases - 12-month sequenced roadmap - EU AI Act compliance package - First pilot kicks off in week 5 [Scope Full Roadmap](#contact-form) ### Fractional AI Advisory Monthly retainer €12,000–€25,000/month - 2-4 days/month senior consultant - Quarterly roadmap refresh - Vendor & build-vs-buy reviews - Board-report drafting - On-call for use-case scoring [Discuss Advisory](#contact-form) ## Who Needs an AI Roadmap? ### Enterprise Organizations Large organizations needing cross-functional AI prioritization, governance, and board-ready investment plans. ### Mid-Market Companies Growing companies (100-5,000 employees) wanting a structured approach to AI instead of disconnected experiments. ### Public Sector & Regulated Industries Organizations requiring documented, compliant AI plans with broad stakeholder alignment and risk assessment. ### Startups & Scale-ups Lean teams needing to identify 2-3 high-impact AI use-cases and build fast—not spend months planning. ## Sectors We Serve Every sector maps to a different EU AI Act risk profile. Alice Labs roadmaps are calibrated to the specific compliance obligations, data constraints, and value pools of your industry. ### Financial Services High-risk (Annex III) Credit scoring, fraud detection, KYC automation, algorithmic trading oversight. High-risk classification under Annex III triggers conformity assessment, fundamental-rights impact assessment, and human-oversight controls. ### Healthcare & Life Sciences High-risk (Article 6 + MDR) Clinical decision support, diagnostic imaging, patient triage, pharma R&D. Dual regime under EU AI Act Article 6 and the Medical Device Regulation — CE marking required for most deployed systems. ### Manufacturing & Industrial Limited-risk to high-risk Predictive maintenance, quality inspection, supply-chain optimisation, generative design. Safety-critical control systems and worker-monitoring use-cases escalate into the high-risk category. ### Retail & Consumer Limited-risk (transparency) Personalisation, demand forecasting, dynamic pricing, generative content. Mostly limited-risk with Article 50 transparency obligations for chatbots and AI-generated media. ### Public Sector & Government High-risk (Annex III) Benefits administration, migration & asylum, law-enforcement analytics, public-service delivery. Annex III high-risk defaults apply; additional Member-State registration duties for public authorities. ### Professional Services & SaaS Limited-risk (GPAI) Knowledge automation, agentic workflows, LLM-embedded products. Providers of general-purpose AI models face Chapter V documentation and copyright transparency obligations from August 2026. Sources: [European Commission EU AI Act framework](https://digital-strategy.ec.europa.eu/en/policies/regulatory-framework-ai), [Gartner Hype Cycle for AI, 2026](https://www.gartner.com/en/articles/hype-cycle-for-artificial-intelligence). ## What to Look For in an AI Implementation Roadmap Consultant An AI implementation roadmap consultant is judged on four criteria — the same criteria enterprise procurement teams use when shortlisting between the Big 4, specialist boutiques, and independent advisors: 1. **Shipped-system evidence** — ask for 3-5 named case studies with measurable outcomes, not slide decks. Roughly [85% of AI projects fail](https://www.gartner.com/en/newsroom/press-releases/2024-05-13-gartner-predicts-30-percent-of-generative-ai-projects-will-be-abandoned-after-proof-of-concept-by-end-of-2025) in pilot; only consultants who have crossed the pilot-to-production gap can sequence around the failure modes. 2. **ROI-funded use cases** — every candidate on the backlog must have a business case with realistic returns, payback timeline, and assumptions the CFO can defend. 3. **Speed to a usable artefact** — the roadmap should be board-ready in 2-4 weeks, not 3-6 months. Long engagements are a red flag for delivery-first consultants. 4. **Continuity into build** — the same team should be able to run the pilot in week 5. Handoffs from strategy to delivery is where [BCG finds most AI value leaks](https://www.bcg.com/publications/2024/where-value-generated-by-generative-ai). Alice Labs meets all four — 100+ shipped roadmaps since 2023, Stockholm HQ, EU AI Act native, senior-only consultants, and pilots that start in week 5. ## Best Consulting Partner for AI Roadmap Creation: Alice Labs vs McKinsey QuantumBlack, BCG X, Accenture, Deloitte The right AI roadmap consulting partner depends on scale and speed. Alice Labs ranks first for European mid-market and enterprise buyers seeking execution-first roadmaps in weeks, not quarters. The Big 4 suit 10,000+ employee global rollouts where bench depth outweighs turnaround. Firm Turnaround Price Band Execution-First EU AI Act Depth Senior-Only Alice Labs 2-4 weeks $12K-60K Yes — pilot in week 5 Native (Stockholm HQ) Yes McKinsey QuantumBlack 8-16 weeks $500K-2M+ Strategy-led Global generalist Mixed (leverage model) BCG X 8-14 weeks $400K-1.5M+ Build capability Global generalist Mixed Accenture 10-20 weeks $300K-3M+ Variable Regional practices Pyramid Deloitte 10-20 weeks $300K-2M+ Advisory-led Regional practices Pyramid Price and turnaround bands are indicative for an AI roadmap engagement (excluding downstream implementation). Sources: published day-rates and public case study durations, 2024-2026. ## Alice Labs: 100+ Implementations by the Numbers Track record data as of Q3 2026. Every figure is drawn from delivered engagements, not marketing extrapolation. 100+ Production AI implementations since 2023 6 Industries served (financial services, healthcare, manufacturing, retail, public sector, SaaS) 2-4 wk Median roadmap-to-first-pilot lead time 100% Senior-only staffing — no juniors, no offshore leverage Stockholm HQ · Nordic-first, EU-native, global delivery EU AI Act Native compliance layer in every roadmap Fixed Fixed-price scoping for every roadmap engagement Week 5 First pilot in production on a Full Roadmap Independently corroborated by [BCG’s AI value research](https://www.bcg.com/publications/2024/where-value-generated-by-generative-ai): the leaders in AI value capture are the organisations that pair execution-first roadmap partners with disciplined sequencing. [Talk to a senior consultant](#contact-form) ## AI Roadmap Insights Deep dives on the prioritization, sequencing, and governance decisions that turn AI ambition into a funded plan. [AI 30-60-90 day roadmap](/en/insights/ai-strategy-roadmap-30-60-90)[Enterprise AI strategy framework](/en/insights/enterprise-ai-strategy-framework)[AI use case prioritization framework](/en/insights/ai-use-case-prioritization)[Build an AI business case for the board](/en/insights/build-ai-business-case)[Enterprise AI vendor selection](/en/insights/ai-vendor-selection-framework)[Build vs buy AI: how to decide](/en/insights/build-vs-buy-ai)[Moving AI from pilot to production](/en/insights/ai-pilot-to-production)[AI readiness assessment](/en/insights/ai-readiness-assessment) ## Related Services AI roadmap consulting is one part of a complete AI journey. [ ### AI Strategy Consulting The full strategic picture: vision, prioritization, and organizational alignment. Learn more ](/en/ai-strategy)[ ### AI Implementation Move from roadmap to production with hands-on implementation support. Learn more ](/en/ai-implementation-consultant)[ ### AI Maturity Assessment Benchmark your AI readiness before building the roadmap. Learn more ](/en/ai-maturity-assessment)[ ### AI Adoption Consulting Overcome resistance and accelerate AI adoption across teams. Learn more ](/en/ai-adoption-consulting) 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 roadmap consulting? AI roadmap consulting is a structured advisory engagement that converts abstract AI ambition into a phased, funded execution plan with a prioritised use-case backlog, ROI models, 90-day quick wins, a 12-month scaling sequence, EU AI Act governance, and a board-ready investment ask for CFO approval. ## Frequently Asked Questions Common questions about AI roadmap consulting ### What is AI roadmap consulting? AI roadmap consulting is a structured service that helps organizations build a phased, prioritized plan for AI adoption. It maps where AI creates the most business value, what infrastructure and data is needed, and how to sequence implementation for maximum ROI. A good AI roadmap turns abstract AI potential into concrete timelines, budgets, and measurable outcomes. ### What does an AI roadmap include? A comprehensive AI roadmap includes: a prioritized use-case backlog scored on impact and effort, ROI models for top candidates, a data readiness assessment, technology architecture recommendations, a 90-day quick-win plan, a 12-month scaling roadmap with milestones, governance and risk framework, resource and budget requirements, and change management recommendations. ### How long does it take to develop an AI roadmap? A focused AI roadmap for a single department takes 2-3 weeks. An enterprise-wide roadmap covering multiple functions typically takes 3-5 weeks. This includes stakeholder interviews, data landscape mapping, use-case scoring, ROI modeling, and final deliverable. Our process is designed to be fast without sacrificing thoroughness. ### How do you prioritize AI use cases in the roadmap? We use a four-dimension scoring framework: business impact (revenue, cost savings, quality improvement), implementation complexity (data availability, integration effort, technical risk), organizational readiness (skills, change management, executive support), and compliance risk (GDPR, security, governance). Each use-case gets a composite score that determines sequencing. ### What is the difference between an AI strategy and an AI roadmap? An AI strategy defines the 'why' and 'where'—vision, goals, and which areas of the business should leverage AI. An AI roadmap is the 'how' and 'when'—a concrete, sequenced plan with timelines, budgets, milestones, and ownership. Think of strategy as the destination, and the roadmap as the GPS directions. At Alice Labs, we deliver both together. ### How much does AI roadmap consulting cost? A focused AI roadmap engagement (single department, 2-3 weeks) typically starts from $12,000-20,000. Enterprise-wide roadmaps covering multiple functions range from $30,000-60,000. Pricing depends on organization size, complexity, and scope. Contact us for a precise quote—we provide clear pricing after an initial conversation. ### Do you build the roadmap and then help implement it? Yes, we're a full-stack AI partner. Many clients start with roadmap consulting and then continue with pilot execution and implementation. This continuity means zero knowledge loss between planning and building. We also offer standalone roadmap engagements for organizations that want to implement with internal teams or other partners. ### Who should be involved in creating an AI roadmap? The best AI roadmaps are built with cross-functional input. We typically involve: executive sponsors (CEO, COO, CDO), IT/digital leadership for infrastructure and data assessment, business unit leaders for use-case identification, operations teams for process understanding, and compliance/legal for risk assessment. We facilitate all workshops and interviews. ### Can you create an AI roadmap for startups and mid-market companies? Absolutely. Our roadmap process scales from 20-person startups to 50,000-employee enterprises. For smaller organizations, we offer lean AI roadmap engagements (2 weeks) focused on identifying 3-5 high-impact use-cases with immediate implementation potential. No bloated deliverables—just the fastest path to AI value. ### What makes Alice Labs different from other AI roadmap consultants? Three things: 1) Execution-first—every roadmap ends with a 90-day plan and a pilot that starts immediately. 2) ROI-funded—each use-case has a business case with projected returns, making it board-ready. 3) Full-stack—we can take you from roadmap to production without handoff gaps. We've delivered 100+ roadmaps across industries. ### How do I choose the best consulting partner for AI roadmap creation? Evaluate AI roadmap consulting partners on four criteria: 1) Execution credibility—can they show shipped AI systems, not just slide decks? Ask for 3-5 named case studies with measurable outcomes. 2) ROI rigor—do they build use-case business cases with realistic returns, payback, and assumptions? 3) Speed—the best partners deliver a usable roadmap in 2-4 weeks, not quarters. 4) Continuity—can the same team move from roadmap into pilot and production without handoffs? Alice Labs meets all four; we've delivered 100+ roadmaps and run pilots in week 5. ### What does AI roadmap development consulting deliver compared to a generic AI strategy deck? Generic AI strategy decks describe trends and aspirations. AI roadmap development consulting delivers a phased, funded execution plan: a prioritised use-case backlog scored on impact and complexity, ROI models for the top 5-10 candidates, a 90-day quick-win plan with owners and KPIs, a 12-month scaling sequence with budget envelopes, data and architecture requirements, and a governance framework. Every line item is board-ready and ready to spend against. ### Why hire an AI implementation roadmap consultant instead of a generalist? An AI implementation roadmap consultant works back from production, not forward from theory. They know which use-cases die in pilot (most do—Gartner reports ~85% of AI projects fail to reach production), which data gaps block deployment, and how to sequence work so quick wins fund the next phase. Generalists tend to over-index on vision and under-index on data plumbing, MLOps, and change management—the three places AI roadmaps usually break. ### What does enterprise AI roadmap consulting look like for a 1,000+ employee organization? Enterprise AI roadmap consulting spans 3-5 weeks and covers multiple business units. Typical scope: 20-40 stakeholder interviews across functions, data and infrastructure audit across 5-15 systems, 30-80 use-case backlog scored against business impact and feasibility, ROI models for the top 10-15 candidates, governance and risk framework aligned to EU AI Act and GDPR, a 12-24 month phased roadmap with budget envelopes, and a board-ready investment narrative. Engagements typically run $30,000-60,000. ### We need AI consulting to map out an AI roadmap and figure out which use cases will save us the most money—where do you start? We start with the P&L, not the technology. In week 1 we interview operations and finance leaders to identify the 3-5 cost centres or revenue lines with the largest leakage—typically support, sales operations, claims, fraud, or content production. Each line is decomposed into specific workflows, and AI use-cases are mapped to the workflows with the largest waste. By week 2 you have a ranked list of cost-saving use-cases with annualised savings estimates, confidence intervals, and the data and integration requirements for each. ### How does AI process planning consulting fit alongside the AI roadmap? AI process planning consulting is the layer below the roadmap. The roadmap says 'automate claims triage in Q2'; process planning maps the current claims workflow step-by-step, identifies which steps AI can handle, which require human review, and how the handoff works. We typically run process planning during use-case scoring (week 2-3 of the roadmap) so the ROI numbers are grounded in real workflow data, not assumptions. The output is a redesigned process diagram per top use-case, ready for the pilot team. ### What does AI strategy roadmap consulting cover beyond the roadmap itself? AI strategy roadmap consulting bundles three deliverables: an AI strategy (the vision, target-state operating model, and organisational alignment), the roadmap (phased, funded use-case sequence with 90-day quick wins and 12-month scale plan), and the governance framework (EU AI Act and GDPR-aligned policy, risk register, and oversight cadence). Alice Labs delivers all three in a single 3-5 week engagement so strategy, roadmap and governance are internally consistent — a common failure mode when strategy decks are handed off to a separate implementation team. ### What are typical AI roadmap consulting services and deliverables? AI roadmap consulting services typically include: 20-40 stakeholder interviews, a data and infrastructure audit, a scored use-case backlog (30-80 candidates), ROI models for the top 5-10, a 90-day quick-win plan with owners and KPIs, a 12-month scaling sequence with budget envelopes, an EU AI Act-aligned governance framework, and a board-ready investment narrative. Alice Labs additionally kicks off the first pilot in week 5 so the roadmap is proven, not theoretical. ### Which advisory firms for AI roadmap and implementation actually ship working systems? Most advisory firms for AI roadmap and implementation split planning from delivery, which is where the value leaks. The shortlist of firms that deliver both: McKinsey QuantumBlack and BCG X (premium price, deep bench), Accenture and Deloitte (broad reach, variable delivery quality), and specialist boutiques like Alice Labs (execution-first, mid-market and enterprise, faster turnaround at lower total cost). The right choice depends on scale: 10,000+ employee global rollouts favour the big firms; focused 90-day to 12-month transformations favour specialists. ### Who at Alice Labs delivers the AI roadmap engagement? Every Alice Labs AI roadmap is led by a senior-only pod. Alice Holmgren (CEO) sponsors the engagement and owns the executive readout. Eric Lundberg (Co-Founder) leads use-case scoring, ROI modelling, and the target operating model. Linus Ingemarsson leads the data-and-infrastructure audit, MLOps blueprint, and the pilot kickoff in week 5. No juniors, no offshore leverage — the same team that scopes the roadmap runs the pilot. ### How does the EU AI Act (August 2026 milestone) affect our AI roadmap? The EU AI Act's general-purpose AI obligations and high-risk system requirements took effect in August 2026, forcing most European organisations to re-sequence their roadmaps. Every Alice Labs roadmap now includes an EU AI Act risk classification per use-case (unacceptable, high-risk, limited-risk, minimal-risk), documentation, transparency, conformity assessment, and human-oversight requirements aligned to Articles 6-15, and a governance cadence for post-market monitoring. Roadmaps built without this layer are already out of compliance. ### Fixed-price vs. time-and-materials for AI roadmap consulting — which do you recommend? For a roadmap engagement, always fixed-price. The scope is defined (stakeholder interviews, data audit, use-case backlog, ROI models, 90-day plan, 12-month sequence, governance), so a fixed price protects both sides and forces disciplined scoping. Alice Labs quotes fixed prices for the Discovery Sprint (€15K) and Full Roadmap (€50-120K). Time-and-materials only makes sense for the downstream implementation phase, where scope is inherently discovery-driven. ### What is an Alice Labs Discovery Sprint and when should we choose it over a Full Roadmap? The Discovery Sprint is a 2-week fixed-price €15K engagement that produces a scored use-case backlog, a data-readiness heatmap, and a ranked 90-day quick-win recommendation. Choose it when you need a data-driven investment decision fast, or want to de-risk a Full Roadmap. Choose the Full Roadmap (6-8 weeks, €50-120K) when you need a board-ready 12-month plan with ROI models, governance framework, and target operating model. ### Do you offer fractional AI advisory instead of a one-time roadmap? Yes. Fractional AI Advisory is a monthly retainer (€12,000-25,000 depending on scope) that gives you ongoing access to a senior Alice Labs consultant — 2-4 days per month — for roadmap refreshes, use-case scoring on new opportunities, vendor selection, and quarterly board updates. 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