Alice Labs is a Stockholm-based AI consultancy helping leadership teams across Sweden, Denmark, Norway and Finland build AI strategies that reach production. The Alice Labs Implementation Index 2026 — a proprietary benchmark of 100+ Nordic enterprise engagements — measures a 96% combined production rate (vs. ~26% industry value-realisation per BCG/MIT) and a 14-week median from pilot kickoff to production. Every strategy engagement ends with a 90-day execution plan and a pilot that starts immediately, not a PowerPoint that collects dust. We partner with enterprises and mid-market companies in financial services, public sector, manufacturing, media and healthcare.
AI strategy consulting is a structured advisory service that helps organisations identify where AI creates the most business value, prioritise investments by ROI, and build a 12-month execution roadmap. The Alice Labs methodology — based on 100+ Nordic enterprise engagements — delivers a 96% combined production rate (vs. ~26% industry value-realisation per BCG/MIT) with a 14-week median from pilot kickoff to production.
An experienced team with broad AI and tech backgrounds from leading companies
Linus
Co-founder & AI Consultant
Alice
CEO & Co-founder
Jens
AI Consultant
Eric
Co-founder & AI Consultant
Lisa
Project Lead & Implementation
Production-grade AI delivery, EU-native, senior team
Verified outcomes from completed AI implementations
Ljusgårda (Supernormal Greens)
Public Sector
Media Company
Same engagement, sharply different outcomes per role
The pain: Your board demands an AI plan, but every consultancy pitches a slide deck — not measurable EBITDA impact.
What you get: An AI strategy with prioritised use cases, ROI model and 90-day pilot — ready for board approval.
The pain: Your team is debating build-vs-buy, model choice, data foundation — and the business is impatient.
What you get: Vendor-neutral target architecture, build-vs-buy decisions and a phased technical roadmap.
The pain: You know AI can cut process cost 40-90%, but cannot tell which workflows to automate first.
What you get: An ops-focused use-case backlog with cycle-time and cost reduction targets per process.
The pain: Sales teams promise 10x ROI; reality is 60-80% of AI projects fail. You need an objective view.
What you get: Independent ROI model, risk register and stage-gate plan that protects capital and de-risks rollout.
Ready to see similar results?
Book a free discovery call - we'll map your highest-impact AI opportunities.
A comprehensive AI strategy typically covers: organizational AI readiness assessment, use-case identification and prioritization across business functions, data landscape and gap analysis, technology architecture planning, governance and risk management frameworks, ROI modeling, and a phased execution roadmap.
At Alice Labs, we practice execution-first AI strategy consulting. This means every strategy engagement ends with a concrete 90-day plan and a pilot that starts immediately—not a deck that collects dust. The Alice Labs Enterprise AI Implementation Index 2026 measures a 96% combined production rate across 100+ Nordic enterprise engagements (vs. ~26% industry value-realisation per BCG/MIT), with a 14-week median from pilot kickoff to production.
Proprietary research from 100+ Nordic enterprise engagements (2024–2026). The data behind our methodology — and the gap between Alice Labs' delivery and the broader market.
The team that authored the Alice Labs Implementation Index and leads every strategy engagement personally
Co-Founder, Alice Labs
Lead author of the Alice Labs Implementation Index. Has overseen 50+ enterprise AI engagements across Sweden, Denmark, Norway and Finland — financial services, public sector, manufacturing, media, retail.
LinkedInCo-Founder, Alice Labs
Strategy and go-to-market lead. Advises leadership teams on build-vs-buy decisions, vendor evaluation, and AI architecture across financial services, manufacturing, and media.
LinkedInCEO, Alice Labs
Leads Alice Labs' practice operations. Background in scaling consulting practices and embedding AI into enterprise operating models.
LinkedInThree live Alice Labs case studies — across food retail, public sector, and media. Specific numbers, real timelines, with the full case write-up linked.
Challenge: 5–6 FTE manually handling phone orders from 200+ ICA stores daily — a costly bottleneck capping growth.
Outcome: AI agent for SMS-based order handling automated the full order flow. Reduced from 6 FTE to 1 coordinator in 6 weeks. 70–80% of order calls automated.
Challenge: 1.5 FTE marketing team expected to deliver enterprise-quality content across 7 channels consistently. Manual production was unsustainable at the scale required.
Outcome: Centralised AI system automating content production and distribution across all 7 channels — from one idea to platform-specific adaptations (social, email, blog, video, ads, SEO, reports).
Challenge: Official reports required 60+ manual hours each. 1,000+ hours per month consumed on documentation, with high error risk.
Outcome: Automated document generation system extracts data, applies format and structure, and generates compliant documents for personnel review.
Three of 100+ Alice Labs engagements measured in the Implementation Index 2026. See all case studies →
Concrete, actionable deliverables—not PowerPoint decks that collect dust
Aligned to your business goals and strategic priorities
By function with clear ownership and prioritization
With risk and data readiness assessment
Time, quality, revenue, and risk—measurable and trackable
Sources, quality, access, and identified gaps
Simple, understandable, and implementable
Pilot selection and measurement for rapid ROI
Scale, govern, and continuously improve
From diagnosis to a funded, board-ready AI roadmap in 2-4 weeks
An AI roadmap translates strategy into action. It defines which use-cases to build first, what data and infrastructure is needed, how to measure success, and when to scale. Without a roadmap, AI initiatives become disconnected experiments that fail to deliver enterprise value.
Our AI roadmap consulting process starts with a structured diagnosis: we map your current data landscape, identify use-cases across every business function, score them on impact vs. effort, and build ROI models for the top candidates. The result is a prioritized, funded roadmap with clear ownership, timelines, and KPIs.
Pilot 1-2 high-impact use-cases with measurable KPIs from week one
Phased rollout across functions with clear investment milestones
Each use-case comes with business case, expected ROI, and resource needs
We work with leaders who want AI to drive measurable business outcomes
C-suite, VP Digital, and Heads of Innovation looking to build a scalable AI capability across the organization.
Growing organizations (100-5,000 employees) that want to implement AI strategically rather than in isolated experiments.
Municipalities, regions, and agencies seeking compliant, documented AI strategies with broad stakeholder alignment.
Digital teams and innovation labs that need a structured framework to move from proof-of-concept to production.
You don't need a Fortune 500 budget to build a real AI strategy
Mid-market companies and startups often face a different AI challenge than enterprises: limited resources, lean teams, and the need for fast, tangible ROI. Our approach for smaller organizations focuses on identifying the 2-3 highest-impact use-cases that can be implemented quickly with existing data and tools.
We offer focused AI strategy engagements designed for organizations with 20-500 employees: a 2-week diagnosis, a prioritized backlog of 5-10 use-cases, and a 90-day execution plan that starts with a pilot. No bloated roadmaps, no unnecessary complexity—just the fastest path to AI-driven value.
2-week focused assessment for growing companies
First measurable results within 4-6 weeks
Architecture that grows with your organization
We identify high-impact AI opportunities across your organization
A proven, four-phase process from diagnosis to scale
2-4 weeks
Current state analysis, use-case inventory, data mapping, and prioritization based on business value
2-6 weeks
Build first use-case in production, measure KPIs, and validate ROI hypothesis
4-12 weeks
Integrations, rollout, enablement, and change management across teams
Ongoing
More use-cases, optimization, retraining, governance, and continuous reviews
Every strategy ends with a 90-day plan and a pilot that starts immediately. No shelf-decks.
KPIs are defined at the start. We measure impact continuously—hours saved, quality improved, costs reduced.
We involve business, IT, and leadership from day one. Strategy without buy-in is strategy without results.
AI policy, access control, GDPR, logging, and risk management are integrated—not afterthoughts.
Tracked in the Alice Labs Implementation Index 2026 — financial services, public sector, manufacturing, media, healthcare, retail across SE/DK/NO/FI.
Strategy, pilot, implementation, and operations. One partner from vision to production—no handoff gaps.
Move beyond isolated AI experiments to enterprise-wide transformation
AI transformation is the process of systematically embedding artificial intelligence into an organization's operations, culture, and decision-making. Unlike one-off AI projects, transformation requires organizational redesign, change management, new operating models, and a phased approach to scaling AI across every function.
At Alice Labs, we help organizations navigate this shift with a structured 5-phase transformation framework: assess readiness, define the target operating model, run pilots, scale across functions, and embed governance for continuous improvement. We serve enterprises and mid-market companies across Europe and globally.
Deep-dive into the strategy domain that matters most to your organization
Dedicated AI roadmap development: use-case prioritization, ROI modeling, 90-day plan, and 12-month scaling roadmap for enterprises and mid-market.
Explore Digital LeadersEnd-to-end AI transformation for organizations ready to move from strategy to enterprise-wide change. Organizational design, change management, and phased rollout.
Explore C-Suite & VPOrganization-wide AI transformation for companies with 500-50,000+ employees. Cross-functional prioritization, governance, and board-ready roadmaps.
Explore Innovation & CDOMove from ad-hoc ChatGPT usage to structured GenAI deployment. LLM adoption roadmaps, model selection, and shadow AI governance.
Explore CTO & Data LeadsBuild data foundations that make AI succeed. Six-dimension readiness assessment, architecture design, and data governance frameworks.
Explore CMO & GrowthAccelerate growth with AI-powered lead generation, personalized outreach, and full-funnel GTM optimization.
Explore Marketing & SEOScale content production 3-10x while maintaining quality. AI-powered workflows with human-in-the-loop editorial governance.
ExploreAI strategy is the starting point. Here's where it leads.
Full-journey AI consulting: strategy, pilot, implementation, and operations.
Learn moreUpskill your team with hands-on AI training tailored to your industry and tools.
Learn moreBuild a governance framework that ensures compliant, responsible AI adoption.
Learn moreOvercome organizational resistance and accelerate AI adoption across teams.
Learn moreBenchmark your AI readiness across data, talent, governance, and technology.
Learn moreMove from strategy to production with hands-on implementation support.
Learn moreLet's discuss your AI journey
Our team will help you prioritize use cases and build a concrete roadmap.
"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
Everything you need to know about AI strategy consulting
An AI strategy is a structured plan that defines where, how, and why an organization should invest in artificial intelligence. It typically includes: a 1-3 year AI vision aligned to business goals, a prioritized use-case backlog by function, an ROI model with measurable KPIs, a data and technology gap analysis, a target architecture, a 90-day execution plan, and a 12-month scaling roadmap. A good AI strategy bridges the gap between technology potential and business outcomes.
AI strategy consulting is a professional service that helps organizations identify where AI creates the most business value, prioritize investments, and build actionable roadmaps. Alice Labs' AI strategy consulting — measured by the Alice Labs Implementation Index 2026 across 100+ Nordic enterprise engagements — delivers a 96% combined production rate with a 14-week median from pilot kickoff to production, against a broader-market value-realisation rate of ~26% (BCG/MIT). Every engagement delivers a prioritized use-case backlog, ROI model with clear KPIs, 90-day execution plan, and 12-month roadmap. Unlike traditional consulting, we follow an execution-first approach—every strategy ends with a pilot that starts immediately.
We use an impact/effort matrix combined with risk and data readiness assessment. The best candidates are use-cases that are repetitive, data-driven, and have clear KPIs—such as case handling, reporting, lead qualification, or document processing. We prioritize quick wins in parallel with strategically important initiatives. Each use-case is scored on business impact, implementation complexity, data availability, and organizational readiness.
With our pilot-first approach, you'll see first measurable results within 2-6 weeks. Typical ROI timeline: pilot validates hypothesis (week 2-6), full implementation (month 2-4), break-even (month 3-6). We measure continuously so you see impact in real-time—hours saved, improved quality, increased conversion, or reduced costs. Our clients typically see 3-10x return within the first year.
A good AI strategy has five characteristics: 1) It's business-led, not technology-led—starting from value, not tools. 2) It includes concrete, prioritized use-cases with owners and timelines. 3) It has measurable KPIs defined from day one. 4) It addresses governance, security, and change management. 5) It ends with an execution plan, not just a document. The most common mistake is treating AI strategy as a one-off exercise instead of a continuous capability-building process.
Our AI strategy framework follows four phases: Diagnosis (2-4 weeks)—current state analysis, use-case inventory, data mapping, and prioritization. Pilot (2-6 weeks)—build first use-case in production, measure KPIs. Implementation (4-12 weeks)—integrations, rollout, and change management. Scale & Govern (ongoing)—more use-cases, optimization, and continuous reviews. The framework is adaptable to organizations from 50 to 50,000 employees.
Yes, we recommend IT/digital teams participate from the diagnosis phase. They provide insights on current systems, data sources, integrations, and security requirements. At the same time, we involve business stakeholders (operations, marketing, sales) to capture the right use-cases and ensure buy-in. Best results come from cross-functional teams with executive sponsorship.
An AI strategy (diagnosis + roadmap) typically takes 2-4 weeks and is priced as fixed scope. Investment varies based on organization size, complexity, and number of functions covered. A focused strategy for a single department starts from approximately $15,000, while a comprehensive enterprise-wide AI strategy ranges from $40,000-80,000. Contact us for a precise quote—we always provide a clear price indication after an initial conversation.
AI strategy focuses on 'where should we invest and why'—vision, prioritization, roadmap, and ROI logic. AI consulting covers the full journey: strategy, pilot, implementation, operations, and governance. Strategy is often the first step for organizations wanting a complete picture before building. At Alice Labs, we offer both—many clients start with strategy and then continue with implementation.
Yes, we serve organizations across sectors—from growth-stage companies to Fortune 500 enterprises and public sector organizations. We understand compliance requirements, GDPR, data governance, and stakeholder alignment in complex organizations. Our structured methodology is particularly effective for organizations needing documented processes, broad stakeholder buy-in, and board-ready deliverables.
In the first 90 days, you'll get: weeks 1-3, a complete AI diagnosis with use-case inventory and data landscape mapping. Weeks 3-6, a prioritized roadmap with ROI models, KPIs, and a pilot selection. Weeks 6-12, a live pilot in production with measurable results. By day 90, you'll have validated at least one AI use-case with real business impact and a clear path to scale.
We score every potential use-case across four dimensions: business impact (revenue, cost, quality), implementation complexity (data readiness, integration effort), organizational readiness (skills, change management), and risk (compliance, security). This creates a prioritized backlog. We then build ROI models for the top candidates to create a funded roadmap with clear investment asks and expected returns—ready for board approval.
A typical full engagement runs 3-6 months: AI strategy and diagnosis (2-4 weeks), pilot design and execution (2-6 weeks), implementation and integration (4-12 weeks), and handover with governance setup (1-2 weeks). Many clients start with a standalone strategy engagement (2-4 weeks) before committing to implementation. We also offer ongoing AI management and optimization retainers.
We don't make empty ROI guarantees—we build measurable ROI into the process. Every engagement starts with defined KPIs (time saved, cost reduced, quality improved). We run pilots before full implementation to validate ROI hypotheses with real data. Our track record: 85% of clients see measurable ROI within 6 months. If a pilot doesn't show expected results, we pivot the approach before scaling.
Have more questions? Let's talk.
No commitment - just a conversation about what AI can do for your business.
Schedule a strategy session to discuss your AI roadmap
Combine multiple services for maximum impact – we help you find the right mix