Enterprise AI That Delivers ROI, Not Just Pilots
Alice Labs is the AI implementation partner for enterprises that want results, not experiments. We build production-ready AI agents, workflow automation, and decision intelligence systems that deliver measurable ROI. Our senior teams work across manufacturing, finance, healthcare, and professional services — turning AI strategy into measurable business outcomes in 30-90 days.
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.
How We Deliver Enterprise AI
A proven 4-phase approach that turns AI strategy into measurable results
1. AI Discovery (2-4 Weeks)
Map your AI opportunities across the organization. We analyze processes, data, systems, and strategic goals to build a prioritized roadmap ranked by ROI, feasibility, and strategic impact.
Key Deliverables:
2. AI Pilot (2-6 Weeks)
Build and test the highest-priority use case with real data. Measurable success criteria, iterative development, and executive visibility — proving value before scaling.
Key Deliverables:
3. Production & Scale
Deploy the proven solution into production with full integrations, security, monitoring, and user training. Then expand to additional use cases using the established framework.
Key Deliverables:
Before vs. After Alice Labs
| Process | Before AI | After Alice Labs |
|---|---|---|
| Time to First Results | 6-12 month AI projects | 60-90 days to measurable ROI |
| AI Pilot Success Rate | 70% of pilots never scale | Proven pilot → production framework |
| Admin & Reporting | Manual, fragmented | AI-automated, real-time dashboards |
| Decision Speed | Days/weeks for analysis | AI insights in minutes |
| System Integration | Months of custom development | MCP-connected in weeks |
Let's discuss your AI journey
Our team will help you prioritize use cases and build a concrete roadmap.
Explore Other Industries
Alice Labs delivers AI agents across every major industry vertical
Finance, Banking & Insurance
AI in Banking
AI in Insurance
AI in Wealth Management
Healthcare & Life Sciences
AI in Healthcare
Our Core AI Services
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
What makes enterprise AI different from small business AI?
Enterprise AI requires integration with complex system landscapes (ERP, CRM, DWH), compliance with security and governance frameworks, change management across large organizations, and solutions that scale from pilot to production without breaking. We specialize in navigating this complexity.
How do you ensure AI projects deliver ROI, not just demos?
We start with business KPIs, not technology. Every project has measurable success criteria defined before day one: hours saved, costs reduced, revenue generated, or quality improved. We pilot with real data, measure results, and only scale what works — typical ROI is 3-10x within the first year.
What does a typical enterprise AI engagement look like?
Phase 1: AI Discovery (2-4 weeks) — map opportunities and prioritize by ROI. Phase 2: AI Pilot (2-6 weeks) — build and test with real data. Phase 3: Implementation (4-12 weeks) — production deployment with integrations. Phase 4: Scale & Manage — expand across the organization.
How do you handle AI governance and compliance?
We implement AI governance frameworks covering model documentation, bias testing, decision explainability, data privacy, and regulatory compliance (EU AI Act, GDPR, industry-specific regulations). Every AI system includes audit trails, model cards, and clear human oversight protocols.
Can AI integrate with our existing enterprise systems?
Yes. We connect AI agents to ERP (SAP, Oracle), CRM (Salesforce, HubSpot), DWH (Snowflake, BigQuery), and document management systems through secure APIs and Model Context Protocol (MCP). AI enhances your existing stack — it doesn't replace it.
How do you manage change when implementing AI in large organizations?
AI adoption is 80% people, 20% technology. We include change management in every engagement: executive alignment, team training, champion programs, and iterative rollout. Our AI training programs have equipped hundreds of teams to work effectively with AI tools.
What industries does Alice Labs specialize in?
We have deep expertise in financial services, healthcare, manufacturing, public sector, and professional services. Our industry-specific AI solutions address the unique regulatory, operational, and competitive challenges of each vertical.
How do you handle data security for enterprise AI?
All AI models run within your security perimeter — on-premise or in your private cloud. No data leaves your environment. We implement encryption, access controls, audit logging, and penetration testing. Full SOC 2, GDPR, and industry-specific compliance.
What is the difference between AI agents and traditional automation?
Traditional automation (RPA) follows scripted rules. AI agents understand context, make decisions, adapt to new situations, and learn from feedback. An RPA bot processes a form. An AI agent reads a complex document, reasons about it, and takes appropriate action — even for cases it hasn't seen before.
How long does it take to see results from enterprise AI?
Most enterprise clients see measurable results within 60-90 days of engagement start. Quick wins from workflow automation often pay for the entire engagement, while strategic AI initiatives deliver compounding returns over 12-24 months.
Have more questions? Let's talk.
No commitment - just a conversation about what AI can do for your business.
Ready to Turn AI into Enterprise Value?
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