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.
What is an AI discovery sprint?
An AI discovery sprint is a 2-4 week paid engagement that maps an organisation's highest-impact AI opportunities. Deliverables include a prioritised use-case backlog scored by ROI and feasibility, a recommended pilot, technical architecture, change management plan and a fixed-price implementation proposal — credited if you proceed.
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 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.
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
Frequently Asked Questions
Everything you need to know about AI discovery
What is an AI discovery sprint?
An AI discovery sprint is a structured 2-4 week engagement where we map your organization's AI opportunities, assess data readiness, and deliver a prioritized use-case backlog with ROI estimates. It's designed for organizations that want clarity on where AI creates the most value before committing to implementation.
How is AI discovery different from AI strategy?
AI discovery is the diagnostic phase—focused on mapping opportunities and assessing readiness. AI strategy builds on discovery to create a complete roadmap with architecture, governance, and execution plans. Think of discovery as the 'where should we start?' and strategy as the 'how do we get there?' Many clients start with discovery, then proceed to strategy.
What do we get from an AI discovery engagement?
Deliverables include: a complete AI opportunity map across your organization, a prioritized use-case backlog (scored by impact, feasibility, and ROI), data readiness assessment, quick-win identification (things you can start this month), and a recommended next-steps roadmap. Everything is presented in a board-ready format.
How long does AI discovery take?
A focused discovery sprint takes 2-4 weeks. This includes stakeholder interviews (typically 8-15 people across functions), process analysis, data assessment, and synthesis. We deliver findings in a structured workshop with your leadership team.
Who should participate in AI discovery?
We interview stakeholders across functions: operations, finance, marketing, sales, HR, IT, and customer service. Ideally, the project has an executive sponsor (CEO, CTO, or CDO) and includes both leadership and frontline team members who understand daily processes. Typically 8-15 participants across the organization.
What if we already know what we want to build?
If you have a specific use case in mind, you might skip discovery and go straight to an AI pilot (2-6 weeks). However, discovery often reveals higher-ROI opportunities that weren't initially on the radar. We've had clients come in wanting chatbots and leave with document automation projects that delivered 10x more value.
How do you assess AI readiness?
We evaluate five dimensions: 1) Data readiness—quality, accessibility, and structure of relevant data. 2) Process maturity—how well-documented and standardized current processes are. 3) Technical infrastructure—systems, integrations, and API availability. 4) Organizational readiness—change management, skills, and culture. 5) Strategic alignment—how AI connects to business objectives.
What does AI discovery cost?
AI discovery is a fixed-scope engagement. For a single department or function, investment starts from approximately $8,000. An organization-wide discovery across multiple functions typically ranges from $15,000-30,000. We provide a clear price indication after an initial conversation about scope and objectives.
Can AI discovery be done remotely?
Yes. We conduct discovery sprints both on-site and remotely. Remote discovery uses structured video interviews, digital workshops, and collaborative tools. On-site visits can be valuable for process observation but aren't required. Hybrid formats (remote interviews + one on-site workshop) are our most popular option.
What happens after AI discovery?
After discovery, you have three paths: 1) Proceed to AI strategy for a comprehensive roadmap. 2) Jump straight to a pilot on the highest-priority use case. 3) Use the findings internally to guide your own AI initiatives. Most clients choose option 1 or 2, and we can start within days of completing discovery.
Have more questions? Let's talk.
No commitment - just a conversation about what AI can do for your business.
Ready to Discover Your AI Opportunities?
Book a call to discuss scope and approach
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