--- title: "AI Discovery Sprint | Map AI Opportunities | Alice Labs" description: "AI discovery sprint in 2-4 weeks. 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It's designed for organizations that want clarity on where AI creates the most value before committing to implementation." } }, { "@type": "Question", "name": "How is AI discovery different from AI strategy?", "acceptedAnswer": { "@type": "Answer", "text": "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." } }, { "@type": "Question", "name": "What do we get from an AI discovery engagement?", "acceptedAnswer": { "@type": "Answer", "text": "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." } }, { "@type": "Question", "name": "How long does AI discovery take?", "acceptedAnswer": { "@type": "Answer", "text": "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." } }, { "@type": "Question", "name": "Who should participate in AI discovery?", "acceptedAnswer": { "@type": "Answer", "text": "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." } }, { "@type": "Question", "name": "What if we already know what we want to build?", "acceptedAnswer": { "@type": "Answer", "text": "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." } }, { "@type": "Question", "name": "How do you assess AI readiness?", "acceptedAnswer": { "@type": "Answer", "text": "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." } }, { "@type": "Question", "name": "What does AI discovery cost?", "acceptedAnswer": { "@type": "Answer", "text": "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." } }, { "@type": "Question", "name": "Can AI discovery be done remotely?", "acceptedAnswer": { "@type": "Answer", "text": "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." } }, { "@type": "Question", "name": "What happens after AI discovery?", "acceptedAnswer": { "@type": "Answer", "text": "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." } } ] } ] } ] --- ![Background for AI Discovery](/images/bakgrund.jpg) [Alice Labs](/en/) Services [ What we do ](/#welcome)[ About Alice ](/#who-we-are)[ Case ](/en/case)[ Insights ](/en/insights)[ Contact ](/#email-form)[sv](/ai-discovery) [Home](/en)[AI Consulting](/en/ai-consulting) AI Discovery AI Discovery Sprint – 2-4 Weeks Fresh · Last reviewed: 16 September 2026 · 6d ago # 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. Book a Discovery Call[See What You Get](#deliverables) 2-4 week structured sprint Board-ready deliverables Prioritized use-case backlog with ROI Have a project in mind? Get a response within 24 hours — no obligation. Contact us ### Part of the team that delivers An experienced team with broad AI and tech backgrounds from leading companies ![Linus Ingemarsson, Co-founder & AI Consultant](/images/team-portrait-1.jpg) Linus Co-founder & AI Consultant ![Adrian, AI Consultant](/images/team-portrait-2.jpg) Adrian AI Consultant ![Jens, AI Consultant](/images/team-portrait-3.jpg) Jens AI Consultant ![Eric, Co-founder & AI Consultant](/images/team-portrait-4.jpg) Eric Co-founder & AI Consultant ![Linus T., AI Consultant](/images/team-portrait-5.jpg) Linus T. AI Consultant ## Why enterprises pick Alice Labs Production-grade AI delivery, EU-native, senior team 100+ AI implementations shipped across Europe 85% Of clients see ROI within 12 months EU-native AI Act & GDPR ready Stockholm-based, EU data residency Senior team Hands-on delivery Experienced practitioners Ready to talk? Tell us about your goals and we'll suggest the fastest path forward. Contact us ## Results From Our Clients Verified outcomes from completed AI implementations AI Agent Food & Grocery ### AI Agent for Order Management Ljusgårda (Supernormal Greens) $250K/year saved - 83% cost reduction - 70-80% automation - 6-week implementation AI Automation Public Sector ### Document Automation: 60h → 3min Public Sector 6,400–8,000 h/year freed - 95% time reduction - 60h → 3min/doc - 1000+ hours/month saved AI Automation Media & Publishing ### AI-Driven Content Production Media Company $40K/month revenue - $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. Book a Discovery Call ## 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. Discovery typically hands off to an [AI implementation partner](/en/ai-implementation-partner) engagement or long-run [AI-förvaltning](/ai-forvaltning); Swedish-market buyers can enter through [AI discovery](/ai-discovery). ## 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 01 ### Kickoff & Scoping Day 1-2 Define objectives, identify stakeholders, agree on scope and timeline. 02 ### Interviews & Analysis Week 1-2 8-15 stakeholder interviews. Process mapping. Data source inventory. 03 ### Synthesis & Scoring Week 2-3 Opportunity scoring by impact/effort. ROI estimation. Quick-win identification. 04 ### Workshop & Handover Week 3-4 Present findings to leadership. Align on priorities. Define next steps. ## What Comes After Discovery? [ ### AI Strategy Turn discovery insights into a complete AI roadmap with architecture and governance ](/en/ai-strategy)[ ### AI Pilot Build and test your top use case in 2-6 weeks with measurable KPIs ](/en/ai-pilot)[ ### AI Implementation Go straight to production with full integration and change management ](/en/ai-implementation-consultant) ## AI Discovery Reading List The frameworks, benchmarks, and pitfalls our team draws on when running a discovery sprint. [AI use case prioritization framework](/en/insights/ai-use-case-prioritization)[Enterprise AI readiness evaluation](/en/insights/ai-readiness-assessment)[Why do AI projects fail: statistics and reasons](/en/insights/why-ai-projects-fail)[Leading enterprise AI solutions 2026](/en/insights/best-ai-tools-for-enterprise-2026)[Claude vs GPT-4o vs Gemini 2026 comparison](/en/insights/gpt4o-vs-claude-vs-gemini)[Enterprise AI strategy framework steps](/en/insights/enterprise-ai-strategy-framework)[AI in Sweden 2026 discovery context](/en/insights/ai-in-sweden-2026)[Industry AI implementation guide with questionnaires](/en/insights/ai-implementation-pillar) Let's discuss your AI journey Our team will help you prioritize use cases and build a concrete roadmap. Book a Meeting ## 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 Quick definition ## 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. ## 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. Book a Call ## Ready to Discover Your AI Opportunities? Book a call to discuss scope and approach Name \* Company \* Email \* Phone (optional) Tell us about your goals Request Discovery Call ## Explore more AI services Combine multiple services for maximum impact – we help you find the right mix [ ### AI Training Practical AI training for your entire team Learn more ](/en/ai-training)[ ### AI Consulting Strategy, implementation, and results Learn more ](/en/ai-consulting)[ ### AI Strategy Roadmap, use cases, and ROI planning Learn more ](/en/ai-strategy) ### Industries We Serve [Finance, Banking & Insurance](/en/industries/finance-banking-insurance)[Healthcare & Life Sciences](/en/industries/healthcare-life-sciences)[Supply Chain & Manufacturing](/en/industries/supply-chain-logistics-manufacturing)[Professional Services](/en/industries/professional-services)[All industries →](/en/industries) ### Alice Labs AB AI Automation & Creative Solutions in an AI Wonderland Org.nr: 559443-5470 Hammarbybacken 27 120 30 Stockholm, Sweden [+46 73 415 74 76](tel:+46734157476) [alice@alicelabs.ai](mailto:alice@alicelabs.ai) [LinkedIn →](https://se.linkedin.com/company/alicelabsai)[Google →](https://www.google.com/search?q=Alice+Labs+Stockholm+AI) #### Services [AI Training](/en/ai-training)[AI Consulting](/en/ai-consulting)[AI Automation](/en/ai-automation)[AI SEO](/en/ai-seo)[AI Agents](/en/ai-agents)[AI Search](/en/ai-search) #### Research & Insights [All insights →](/en/insights)[AI Search & LLMO](/en/insights/ai-search)[AI Strategy](/en/insights/ai-strategy)[AI Implementation](/en/insights/ai-implementation)[AI Agents](/en/insights/ai-agents)[AI Statistics](/en/insights/ai-statistics)[AI for Industries](/en/insights/ai-industries) #### Quick links [All industries →](/en/industries)[All functions →](/en/function)[AI Agency](/en/ai-agency)[What we do](/en#welcome)[About Alice](/en/about)[Case](/en#cases)[Contact](/en#email-form) #### AI Strategy [Enterprise AI Strategy](/en/enterprise-ai-strategy)[Generative AI Strategy](/en/generative-ai-strategy)[AI Data Strategy](/en/ai-data-strategy)[AI Go-To-Market Strategy](/en/ai-go-to-market-strategy)[AI Content Strategy](/en/ai-content-strategy) #### AI Implementation [AI Implementation Consultant](/en/ai-implementation-consultant)[AI Implementation Partner](/en/ai-implementation-partner)[Done-For-You AI](/en/done-for-you-ai-implementation)[Enterprise AI Consulting](/en/enterprise-ai-consulting)[AI Consulting Europe](/en/ai-consulting-europe)[Conversational AI Consulting](/en/conversational-ai-consulting) © 2026 Alice Labs. 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