AI Data Strategy –
Build AI-Ready Data Foundations
Alice Labs helps organizations build data strategies that make AI initiatives succeed. We deliver data readiness assessments, AI-optimized architecture designs, governance frameworks, and implementation roadmaps. Because without the right data foundations, even the best AI models fail.
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
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 SEO Rewrite: +2,092% Clicks
Media Company
- 178 articles rewritten
- +330% daily increase
- 141 → 3,091 clicks
What Is AI Data Strategy?
AI data strategy is the discipline of ensuring an organization's data assets are structured, accessible, high-quality, and properly governed to support AI initiatives. It's the most overlooked and most critical factor in AI success—over 70% of AI project failures are rooted in data problems, not model problems.
At Alice Labs, we help organizations build data foundations that make AI initiatives succeed. Our six-dimension readiness assessment identifies gaps, our architecture designs create scalable data pipelines, and our governance frameworks ensure compliance with EU regulations from day one.
AI Data Readiness Assessment
We evaluate your data across six critical dimensions
Availability
Is data accessible and integrated across systems?
Quality
Is it accurate, complete, consistent, and timely?
Volume & Structure
Enough data, properly structured for AI consumption?
Governance
Ownership, access controls, and privacy policies in place?
Freshness
Can data be updated in real-time for operational AI?
Architecture
Infrastructure supports AI workloads at scale?
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
Frequently Asked Questions
Everything you need to know about AI data strategy
Ready to Build Your AI Data Strategy?
Schedule a session to assess your data readiness for AI
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