The AI Implementation Partner
That Actually Ships
Alice Labs is an AI implementation partner built for organisations tired of consultants who stop at the proof-of-concept. We take accountability for production - end-to-end, fixed-price, senior team only.
Part of the team that delivers
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
Why enterprises pick Alice Labs
Production-grade AI delivery, EU-native, senior team
Results From Our Clients
Verified outcomes from completed AI implementations
AI Agent for Order Management
Ljusgårda (Supernormal Greens)
- 83% cost reduction
- 70-80% automation
- 6-week implementation
Document Automation: 60h → 3min
Public Sector
- 95% time reduction
- 60h → 3min/doc
- 1000+ hours/month saved
AI-Driven Content Production
Media Company
- $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.
What Is an AI Implementation Partner?
An AI implementation partner is a specialist firm that takes accountability for shipping AI into production - not just advising on strategy. A real partner owns the build, the integration, the governance, the change management and the post-launch operations. The relationship is measured in production systems and ROI, not slide decks and workshops.
Alice Labs is built to be that partner. Our entire delivery model - senior team only, fixed-price commitments, single point of accountability - exists because most AI consultancies are not designed to ship.
Six principles of how we partner
Designed to fix the reasons most AI projects never reach production.
Senior team only
Lean senior team. Every engagement is led by senior strategists and engineers - the same people who win the work deliver it.
Production from day one
Architecture, security, integration and governance are designed before the first line of code - not retrofitted after a pilot.
Fixed-price commitments
Clear scope, clear price, clear deadline. If we overrun, you do not pay for the overrun. Skin in the game.
Single accountable partner
Strategy, engineering, governance and change - one team, one contract, one phone number when something needs to ship.
Built-in release management
Versioning, A/B testing, rollback, drift detection and incident response - the operational discipline most consultancies skip.
Capability transfer
We document, train and hand over so your internal team can run and extend what we build - no permanent dependency.
Why most AI partnerships fail
And how we structure ours to avoid it.
Hand-off to in-house team
Consultants ship a prototype, hand over to a stretched internal team, and walk away. We co-deliver and transfer capability gradually - never throw work over the wall.
Pilot built without integration
Most pilots are built in isolation - no CRM connection, no security, no governance. Ours are built production-ready from day one, with a path to scale baked in.
No owner post-launch
AI systems drift, break and need updates. We provide ongoing release management, monitoring and incident response - so your AI stays in production and keeps improving.
Recognition & trust signals
We do not paste vendor badges we have not earned. The signals below are verifiable - regulatory frameworks we align to, production volume we have delivered, and the way we structure commercial accountability.
EU AI Act native
Every Alice Labs implementation is designed against the European Commission's EU AI Act regulatory framework. We classify each use case by risk tier (minimal / limited / high / unacceptable), document the conformity assessment path, and build the technical documentation, logging and human-oversight controls into the system rather than retrofitting them later.
Reference: Regulation (EU) 2024/1689 - phased application 2025-2027.
NIST AI RMF aligned
Our risk management methodology maps directly to the NIST AI Risk Management Framework (AI RMF 1.0) - the Govern / Map / Measure / Manage functions are embedded in our discovery, build and release workflows so risk is visible and assignable, not implicit.
Useful when US parent companies or US-regulated subsidiaries require AI RMF evidence.
ISO/IEC 42001 ready
We deliver against the operating practices defined in ISO/IEC 42001:2023 - AI management systems. For enterprise clients pursuing certification, our implementation evidence (policies, controls, monitoring artefacts) is structured to feed directly into an internal audit programme.
Standard published Dec 2023, the first international AI management system standard.
100+ implementations
More than 100 production AI implementations across Nordic and European clients - spanning LLM applications, agentic automation, RAG knowledge systems and AI release management retainers. Reference customers available under NDA during discovery.
Sectors include financial services, industrial, public sector and B2B SaaS.
What we deliberately do not claim
The AI services market is full of unverifiable badges. We do not display Microsoft / AWS / Google / OpenAI partner tiers we have not formally been awarded, analyst rankings we have not been named in, or aggregate review stars we have not collected. If a partner shows you a badge, ask which partner program tier, which year, and for a link to the public partner directory entry. The same standard applies to us.
For benchmarking against the global system-integrator field, see Gartner's AI services research and Forrester's AI Services Wave - both are paywalled but credible references when an internal procurement team needs analyst coverage as a gating criterion.
Top AI implementation partners 2026
A buyer-side shortlist of credible AI implementation partners serving European enterprises in 2026. Segmented by tier and specialism so you can match the partner profile to your engagement size, regulatory context and capability transfer goal.
| Partner | Tier | Best fit | Typical engagement |
|---|---|---|---|
| Accenture | Global SI | Large multi-country AI transformations with platform standardisation | €5M+, multi-year |
| Deloitte | Big Four | Strategy-led AI agenda tied to audit, risk and regulatory mandates | €2M+, multi-year |
| IBM Consulting | Global SI | Enterprises standardising on watsonx and hybrid cloud | €1M+, multi-year |
| Capgemini | European SI | Multi-country European rollouts with deep industry verticals | €2M+, multi-year |
| Infosys | Global SI | Cost-optimised offshore delivery at scale | €1M+, multi-year |
| McKinsey QuantumBlack | Strategy | C-suite AI strategy with selective hybrid delivery | €1M+, project-based |
| Knowit | Nordic SI | Nordic enterprises wanting regional T&M delivery teams | €500K+, T&M |
| Nexer Group | Nordic SI | Nordic mid-market with data platform alongside AI | €500K+, T&M |
| Solita | Nordic SI | Finnish-headquartered data and AI delivery across the Nordics | €500K+, T&M |
| Alice Labs | Nordic boutique | Mid-market and enterprise teams that want senior-only delivery, fixed price and EU AI Act readiness without an oversized bench | €80K-€1.5M, fixed-price or retainer |
Choose a global SI when
You need 200+ people on the ground across multiple countries, single-throat-to-choke platform standardisation, and your procurement gates require Gartner Magic Quadrant or Forrester Wave placement.
Choose a Nordic SI when
You want regional time-and-materials teams that can scale up and down month to month, with culture and language fit across Sweden, Norway, Finland and Denmark.
Choose Alice Labs when
You want a small, senior team on a fixed-price commitment, accountable for getting AI into production - not a long T&M assignment or a slide-deck strategy. EU AI Act and ISO 42001 hygiene baked in.
How to evaluate an AI implementation partner in 2026
Eight verifiable criteria - apply them to every partner including Alice Labs.
| Criterion | What to ask for | Why it matters |
|---|---|---|
| Production references | Three customers running AI in production 12+ months, with named system and named outcome | Filters out pilot-only shops |
| Team seniority | CVs of the engineers and architects who will actually deliver - not the partners who sold the deal | Avoids bait-and-switch with juniors |
| EU AI Act readiness | Sample risk classification and conformity assessment artefact from a recent project | Mandatory for high-risk EU use cases |
| NIST AI RMF alignment | Mapping of internal methodology to Govern / Map / Measure / Manage functions | Often required by US parents |
| ISO/IEC 42001 fluency | Explanation of how implementation evidence supports a future certification audit | Future-proofs regulated industries |
| Commercial model | Fixed-price or outcome-based options - not only open-ended T&M | Aligns incentives with delivery |
| Release management discipline | Documented approach to versioning, A/B testing, rollback and drift monitoring | AI without release management drifts |
| Capability transfer plan | Documentation, training and exit plan from day one | Prevents permanent vendor lock-in |
Sources for further reading: European Commission - EU AI Act, NIST AI RMF 1.0, ISO/IEC 42001:2023.
Choosing an AI Implementation Partner: Insights
Selection criteria, failure patterns and partner scorecards for buyers evaluating AI implementation firms.
Let's discuss your AI journey
Our team will help you prioritize use cases and build a concrete roadmap.
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
What is an AI implementation partner?
An AI implementation partner is a long-term vendor that owns multi-year AI delivery across your organisation under a master services agreement. The partner provides senior engineering, governance, on-call support, training and continuous optimisation — accelerating internal capability while reducing risk versus building in-house from scratch.
AI Implementation Partner - FAQ
Answers for buyers tired of consultants who never reach production
What is an AI implementation partner?
An AI implementation partner is a specialist firm that takes responsibility for shipping AI into production - not just advising on strategy. A real partner owns the build, the integration with your existing systems, the change management and the post-launch optimisation. Alice Labs is an AI implementation partner: we sign up for outcomes, not slide decks.
How is an AI implementation partner different from an AI consultancy?
Most AI consultancies stop at strategy or proof-of-concept. An implementation partner owns the entire delivery cycle: discovery, architecture, build, integration, deployment, governance and operate. Alice Labs combines senior strategists with senior engineers in one team - so the people who scope the work also deliver it.
Why do most AI projects fail to reach production?
Three reasons: (1) consultants hand off to in-house teams that lack capacity or context, (2) proof-of-concepts get built without integration, security or governance considered, and (3) there is no clear owner for post-launch operations. Alice Labs solves all three by being the single accountable partner from day one through scale.
What does an AI implementation partner deliver?
End-to-end delivery: prioritised use-case roadmap, reference architecture, production-grade build (LLM apps, agents, RAG, automation), integration with CRM/ERP/data platforms, EU AI Act and GDPR compliance, change management, training, monitoring and a multi-year scale plan. All under one engagement, one team, one accountable partner.
How do I choose the right AI implementation partner?
Look for four things: (1) senior team only - no oversized bench, (2) production references, not pilots, (3) commercial alignment - fixed-price or outcome-based pricing, not endless time-and-materials, and (4) governance and compliance built in. Ask for case studies showing AI in production for 12+ months with measurable ROI.
What does AI release management consulting include?
AI release management is the discipline of deploying, monitoring and updating AI systems safely - including model versioning, A/B testing, rollback procedures, performance monitoring, drift detection, incident response and stakeholder communication. Alice Labs provides AI release management as part of every implementation and as a standalone service for enterprises with internal AI teams.
Do you replace our internal AI team or work alongside them?
Both models work. We can deliver as a fully outsourced AI partner, embed engineers into your team, or work hub-and-spoke with your internal AI function leading and Alice Labs delivering specific workstreams. Most enterprise clients choose hybrid: we lead the first 2-3 implementations, then transfer ownership to the internal team while continuing to deliver new use cases.
What does an AI implementation partnership cost?
Typical engagements range from €80,000 for a single use-case implementation to €1.5M+ for multi-year enterprise partnerships. We offer fixed-price implementations (clear scope, clear price), monthly retainers from €15,000/month for ongoing partnerships, and outcome-based pricing for select engagements where ROI is measurable.
How long does an AI implementation take?
A focused single use-case implementation typically takes 8-16 weeks from kick-off to production. Enterprise multi-use-case programmes run 6-12 months for the first wave, with continuous rollout thereafter. Alice Labs commits to production deadlines in writing - if we miss, you do not pay for the overrun.
How do I get started with Alice Labs as my AI implementation partner?
Book a confidential 45-minute discovery call. We discuss your priority use cases, current technology stack, regulatory context and partnership preferences. If there is a fit, we propose a 4-week discovery sprint that produces a prioritised roadmap, reference architecture and detailed implementation plan - typically €25,000-€40,000 - with no obligation to continue.
Have more questions? Let's talk.
No commitment - just a conversation about what AI can do for your business.
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