AI Discovery –
Map Your AI Opportunities in 2-4 Weeks
Alice Labs runs structured AI discovery sprints that map your organization's AI opportunities, assess data readiness, and deliver a prioritized use-case backlog with ROI estimates. Board-ready deliverables in 2-4 weeks. The fastest path from 'where should we start with AI?' to a clear action plan.
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 an AI Discovery Sprint?
An AI discovery sprint is a structured 2-4 week diagnostic engagement designed to answer the question: "Where should our organization invest in AI?" It maps opportunities across your business functions, assesses data readiness, and delivers a prioritized use-case backlog with estimated ROI.
Discovery is ideal for organizations that know AI matters but aren't sure where to start—or those that have experimented with AI in isolated pockets and want a systematic, organization-wide view. The output is a board-ready report that enables confident investment decisions.
At Alice Labs, we've run discovery sprints for organizations from 50 to 5,000+ employees across private and public sectors. Our methodology combines stakeholder interviews, process analysis, data assessment, and rapid opportunity scoring to deliver actionable insights—not theoretical frameworks.
What You Get
Board-ready deliverables in 2-4 weeks
AI Opportunity Map
Complete inventory of AI use cases across your organization
Prioritized Backlog
Use cases scored by impact, feasibility, and ROI potential
Data Readiness Report
Assessment of data quality, accessibility, and gaps
Quick Wins
Opportunities you can start implementing this month
Readiness Assessment
Organizational, technical, and process readiness scores
Next Steps Roadmap
Clear recommendation for pilots, strategy, or implementation
How It Works
Kickoff & Scoping
Day 1-2
Define objectives, identify stakeholders, agree on scope and timeline.
Interviews & Analysis
Week 1-2
8-15 stakeholder interviews. Process mapping. Data source inventory.
Synthesis & Scoring
Week 2-3
Opportunity scoring by impact/effort. ROI estimation. Quick-win identification.
Workshop & Handover
Week 3-4
Present findings to leadership. Align on priorities. Define next steps.
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 discovery
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