Alice Labs is the AI partner enterprises and scale-ups hire to design and execute go-to-market programmes for new products and new markets. We combine AI-augmented ICP research, LLM-personalised outbound, predictive lead scoring, and a live 90-day pilot into a single accountable engagement, delivered by senior-only consultants from Stockholm across the Nordics and EU. Fixed pricing bands, EU AI Act native, 100+ production AI implementations since 2023.
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AI go-to-market strategy consulting is the practice of helping enterprises design and execute product launches or market-entry programmes where AI is either the product itself, the go-to-market engine, or both. The AI-as-engine layer covers predictive segmentation, AI-personalised outbound at ICP scale, LLM-generated content pipelines feeding inbound and paid, and agentic prospecting workflows that would be economically impossible with a human-only motion.
Alice Labs is a Stockholm-headquartered AI consultancy with 100+ production AI implementations since 2023. We are the AI partner that Nordic and European scale-ups hire when they are launching a new product, entering a new geography, or consolidating GTM after M&A. Every engagement is scoped and delivered by the same senior team, priced on fixed bands, and built to be operable in-house after a 90-day pilot. We connect directly to our AI consulting hub and adjacent services including AI strategy consulting, AI implementation consultant engagements, and AI consulting Stockholm for locally scoped work.
Last updated 2026-08-11 · Next editorial review 2026-11-09 · Alice Labs editorial team
Alice Labs builds AI go-to-market strategies for enterprises and scale-ups launching new products or entering new markets. We scope and execute end-to-end programmes covering AI-augmented ICP research, positioning, LLM-personalised outbound, predictive scoring, and a live 90-day pilot, delivered by senior-only consultants on fixed pricing bands from Stockholm. Buyers coordinating a launch across the wider portfolio typically pair this with our enterprise ai strategy engagement, plus the supporting ai datastrategi and ai innehallsstrategi playbooks for data and content readiness.
Five patterns that consistently trigger an inbound Discovery Sprint request.
You are launching an AI product or an AI-powered tier of an existing product and need positioning, ICP, and demand instrumentation from day one.
Your existing outbound is generic and plateauing. You need an LLM-personalisation layer over Clay, Apollo, and your CRM without breaking deliverability.
You are entering the Nordics, DACH, Benelux, or UK and want an AI-augmented SDR motion rather than hiring a full local team on day one.
You are creating or contending a category and need 60-120 editorial-quality assets per quarter aligned to a real keyword and entity map.
You have just acquired or merged and need one GTM motion, one attribution model, and one AI stack across the combined revenue org.
Six concrete deliverables. Every engagement ships working infrastructure, not slide decks.
Perplexity and Claude with custom retrieval over competitor sites, analyst reports, review sites, and your internal CRM signals. Delivered in days, not weeks.
Draft positioning is stress-tested against synthetic buyer personas grounded in real interview transcripts before it hits a single prospect.
One editorial engine feeds inbound SEO, LLM citation surface (ChatGPT, Perplexity, Google AI Overviews), paid landing pages, and outbound sequences.
Scoring trained on your own won and lost deals, deployed inside HubSpot or Salesforce, with drift monitoring and quarterly retraining.
Working infrastructure, not a diagram. Deliverability warmed, sending domains configured, sequences launched inside the engagement.
Alice Labs operates the engine for 90 days so your team learns the motion by watching a working system. Weekly review meetings, live attribution dashboard, quantitative decisions.
Grounded in credible research: Gartner CMO Spend Survey tracks marketing budget reallocation to AI-enabled execution, and McKinsey, The State of AI finds marketing and sales are the functions reporting the largest revenue impact from generative AI adoption.
Three ways to work with Alice Labs. Fixed price bands, senior-only delivery, no offshore hand-offs.
2 weeks
EUR 15,000
GTM audit, ICP validation, positioning brief, prioritised 90-day roadmap. Suitable for pre-launch teams and enterprises evaluating a full engagement.
Scope this engagement10-14 weeks
EUR 80,000 - 180,000
End-to-end programme: ICP, positioning, content engine, outbound stack build, predictive scoring, 90-day live pilot. Fixed price, senior-only delivery.
Scope this engagement6-month minimum retainer
EUR 12,000 - 25,000 / month
For scale-ups without an in-house AI-GTM head. Weekly review, model retraining, quarterly planning, optional managed outbound operation.
Scope this engagementNordic and European enterprise sweet spot. We work with buyers where the AI GTM motion has to be defensible, measurable, and repeatable.
Product-led and sales-led motions, EUR 10M-100M ARR.
AI-native, robotics, quantum, materials science with technical evaluator buyers.
Manufacturing, energy, supply chain applying AI to physical operations.
Regulated environments needing EU AI Act and DORA-aligned GTM narratives.
Payer, provider, and life sciences with high-scrutiny procurement.
Pattern, not a named client — presented as a representative shape of a recent full GTM build.
Nordic B2B SaaS scale-up (EUR 40M ARR) launching an AI-native product tier across three European markets. 12-week engagement: 4 weeks positioning and ICP work across the three geographies, 4 weeks stack build (Clay + Apollo + custom AI enrichment + Instantly, plus predictive scoring layered on HubSpot), 4 weeks operating the 90-day pilot alongside the client team.
Outcome: 340 sales-qualified leads against a 200-SQL target, meeting-to-opportunity conversion up from 14% to 22%, average cost per SQL 38% below their pre-engagement benchmark. All measured in the live attribution dashboard shipped with the engagement.
Three categories of alternative sit around this decision. Here is how we compare.
Deep frameworks, but partner-scoped and analyst-delivered, with limited hands-on production stack build. Alice Labs is scoped and delivered by the same senior team, and ships working outbound and content infrastructure inside the engagement.
Strong on execution volume, weaker on category and positioning strategy for AI-native products. Alice Labs treats strategy and execution as one engagement rather than two contracts, so positioning survives contact with the sending infrastructure.
Growing category, uneven quality, few with EU AI Act fluency. Alice Labs differentiates on senior-only delivery, fixed-price commitments, EU AI Act and GDPR native, and 100+ production AI implementations across other engagements to draw pattern-match from.
Compliance posture: every engagement is delivered under EU AI Act, GDPR, and where relevant NIS2 constraints, with model documentation and human-in-the-loop review for any decision-support workflow that touches an Article 6 category. Same team also delivers AI training for enterprise teams so the motion is operable in-house post-pilot.
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"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
Alice Labs builds AI go-to-market strategies for enterprises and scale-ups launching new products or entering new markets. We scope and execute end-to-end programmes: AI-augmented ICP research, positioning, AI-personalised outbound, LLM-driven content, predictive scoring, and a 90-day pilot, delivered by senior-only consultants on fixed pricing from Stockholm.
For enterprises evaluating an AI partner to build their go-to-market strategy
Alice Labs builds AI go-to-market strategies for enterprises and scale-ups launching new products or entering new markets. Founded in Stockholm and delivering to Nordic and European B2B SaaS, deep tech, industrial AI, fintech, and health tech companies, we scope and execute end-to-end AI GTM programmes: ICP research, positioning, AI-personalised outbound, LLM-driven content pipelines, predictive lead scoring, and a live 90-day pilot. Senior-only consultants, fixed-price engagements, EU AI Act native, drawing on 100+ production AI implementations since 2023.
Our discovery sprint takes 2 weeks and produces a prioritised GTM roadmap. A full GTM build is 10-14 weeks end to end: weeks 1-4 for AI-augmented ICP and positioning work, weeks 5-8 for stack build (Clay, Apollo, custom enrichment, Instantly or Smartlead, HubSpot or Salesforce), and weeks 9-14 for a 90-day live pilot with weekly KPI reviews. Fractional AI-GTM leadership retainers run for a minimum of 6 months so the model has time to compound.
Alice Labs publishes fixed pricing bands. A 2-week Discovery Sprint is EUR 15,000. A full GTM build (10-14 weeks, includes the 90-day pilot) is EUR 80,000 to EUR 180,000 depending on number of ICP segments, geographies, and whether we build the outbound stack from scratch. Fractional AI-GTM leadership is EUR 12,000 to EUR 25,000 per month on a 6-month minimum. Every engagement is scoped and delivered by the same senior team, no offshore hand-offs.
A traditional GTM strategy assumes human-paced research, human-written content, and rule-based lead scoring. An AI GTM strategy assumes AI-augmented research velocity (competitor teardowns in days, not weeks), LLM-generated content pipelines producing 60-120 assets per quarter at editorial quality, AI-personalised outbound at full ICP scale, predictive lead scoring trained on your own win data, and continuous attribution instead of monthly reporting. The AI is either the product itself, the GTM engine, or both.
Both. Strategy without a working stack is a slide deck, and Alice Labs does not deliver slide decks as final artefacts. Every full engagement stands up the concrete tools: Clay for enrichment, Apollo or LinkedIn Sales Navigator for sourcing, custom AI enrichment scripts for firmographic signals, Instantly or Smartlead for sending infrastructure, HubSpot or Salesforce with predictive scoring, a live attribution dashboard, and the AI content pipeline that feeds inbound. We are vendor-neutral on point tools and select the combination that matches your motion.
During the 90-day pilot phase of a full GTM build, yes: Alice Labs operates the outbound engine directly so your team learns the motion by watching a working system, not from documentation. After the pilot, most clients transition to in-house operation with Alice Labs on a fractional AI-GTM leadership retainer for weekly review, model retraining, and quarterly planning. A minority prefer that we continue operating outbound as a managed service; that is available as an extension of the retainer.
Every engagement fixes success metrics in the Discovery Sprint before pricing is signed. Standard KPIs: sourced pipeline within 90 days, sales-qualified leads (SQLs) against a numeric target, cost per SQL, meeting-to-opportunity conversion, and average sales cycle length. A typical Nordic B2B SaaS pattern is a 200-SQL target across a 90-day pilot; recent engagements have delivered against or above that target. All metrics are tracked in a live attribution dashboard so weekly reviews are quantitative, not narrative.
The full GTM build is scoped for scale-ups (typically EUR 10M-100M ARR) and enterprises where the GTM motion needs to be defensible and repeatable. For pre-launch and seed-stage AI-native startups we offer the 2-week Discovery Sprint only, which produces a prioritised GTM roadmap they can execute themselves or with a specialist agency. We do not run agency-style retainers for pre-launch startups because the ROI does not justify our pricing at that stage.
Research and briefs: Perplexity and Claude with custom retrieval over CRM and competitive corpora. Content pipeline: Claude for long-form, GPT-class models for short-form and variants, custom editorial QA. Outbound: Clay for enrichment, Apollo and LinkedIn Sales Navigator for sourcing, custom Python for signal enrichment, Instantly or Smartlead for sending. Scoring and attribution: HubSpot or Salesforce native, layered predictive scoring, a unified analytics view. We do not sell any single platform; the stack is selected to match your motion and existing tools.
Fractional AI-GTM leadership is EUR 12,000 to EUR 25,000 per month on a 6-month minimum, priced on scope: number of ICP segments, geographies, and whether the retainer includes running outbound as a managed service or only weekly review, model retraining, and planning. The lower band covers a single-segment, single-geo scale-up. The upper band covers multi-geo enterprise programmes with weekly review of a multi-model outbound stack and quarterly board-ready reporting.
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