--- title: "AI Pilot & POC | Validate AI Before You Scale | Alice Labs" description: "De-risk your AI investment with a structured pilot. 2-6 week POC with real data, measurable KPIs & production-ready code." lang: en json-ld: | [ { "@context": "https://schema.org", "@graph": [ { "@type": "Organization", "@id": "https://alicelabs.ai/#organization", "name": "Alice Labs", "alternateName": [ "Alice Labs AB", "AliceLabs" ], "legalName": "Alice Labs AB", "identifier": "559443-5470", "foundingLocation": { "@type": "Place", "name": "Stockholm, Sweden" }, "url": "https://alicelabs.ai", "logo": { "@type": "ImageObject", "@id": "https://alicelabs.ai/#logo", "url": "https://alicelabs.ai/images/alice-logo.png", "contentUrl": "https://alicelabs.ai/images/alice-logo.png", "width": 2000, "height": 2027, "caption": "Alice Labs" }, "image": { "@id": "https://alicelabs.ai/#logo" }, "description": "Alice Labs är en svensk AI-byrå som hjälper företag implementera AI - från strategi till skalning.", "slogan": "From AI strategy to measurable results.", "foundingDate": "2023", "email": "hej@alicelabs.ai", "telephone": "+46734157476", "address": { "@type": "PostalAddress", "streetAddress": "Hammarbybacken 27", "addressLocality": "Stockholm", "postalCode": "120 30", "addressCountry": "SE" }, "contactPoint": [ { "@type": "ContactPoint", "contactType": "customer service", "email": "hej@alicelabs.ai", "telephone": "+46734157476", "areaServed": [ "SE", "EU" ], "availableLanguage": [ "Swedish", "English" ] } ], "areaServed": [ { "@type": "Country", "name": "Sweden" }, { "@type": "Place", "name": "Europe" } ], "knowsAbout": [ "AI strategy", "AI implementation", "AI agents", "AI automation", "Generative AI", "AI governance", "AI training", "Machine learning", "Large language models", "RAG", "AI consulting", "Digital transformation", "AI search optimization", "LLMO", "AI for enterprise" ], "founder": [ { "@id": "https://alicelabs.ai/#linus" }, { "@id": "https://alicelabs.ai/#eric" } ], "sameAs": [ "https://www.linkedin.com/company/alicelabsai", "https://www.trustpilot.com/review/alicelabs.ai", "https://www.wikidata.org/wiki/Q140369570" ] }, { "@type": "Person", "@id": "https://alicelabs.ai/#linus", "name": "Linus Ingemarsson", "givenName": "Linus", "familyName": "Ingemarsson", "jobTitle": "Co-Founder", "description": "Co-founder of Alice Labs. 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Production-ready code, measurable KPIs, and scaling roadmaps.", "provider": { "@type": "Organization", "name": "Alice Labs", "sameAs": "https://alicelabs.ai" }, "areaServed": "Global", "serviceType": "AI Pilot & Proof of Concept", "@id": "https://alicelabs.ai/en/ai-pilot#service", "url": "https://alicelabs.ai/en/ai-pilot", "image": "https://alicelabs.ai/images/og/og-ai-pilot.jpg", "telephone": "+46734157476", "address": { "@type": "PostalAddress", "streetAddress": "Hammarbybacken 27", "addressLocality": "Stockholm", "postalCode": "120 30", "addressCountry": "SE" } }, { "@type": "BreadcrumbList", "itemListElement": [ { "@type": "ListItem", "position": 1, "name": "Home", "item": "https://alicelabs.ai/en" }, { "@type": "ListItem", "position": 2, "name": "AI Pilot & POC", "item": "https://alicelabs.ai/en/ai-pilot" } ] }, { "@type": "FAQPage", "mainEntity": [ { "@type": "Question", "name": "What is an AI pilot project?", "acceptedAnswer": { "@type": "Answer", "text": "An AI pilot is a controlled, time-boxed experiment (typically 2-6 weeks) designed to validate an AI use case with real data and real users before full-scale investment. It proves feasibility, measures ROI, and identifies risks—giving you evidence-based confidence to scale." } }, { "@type": "Question", "name": "How long does an AI pilot typically take?", "acceptedAnswer": { "@type": "Answer", "text": "Most AI pilots run 2-6 weeks depending on complexity. Simple automation pilots (document processing, chatbots) can deliver results in 2-3 weeks. More complex pilots involving custom models or multi-system integration typically need 4-6 weeks." } }, { "@type": "Question", "name": "What's the difference between an AI pilot and a POC?", "acceptedAnswer": { "@type": "Answer", "text": "A proof of concept (POC) validates technical feasibility—'can we build this?' A pilot validates business value—'should we build this?' Our engagements combine both: we prove the technology works AND measure real business impact with your data and users." } }, { "@type": "Question", "name": "How much does an AI pilot cost?", "acceptedAnswer": { "@type": "Answer", "text": "AI pilot costs vary based on scope and complexity, typically ranging from €15,000-€50,000. This includes scoping, development, testing with real data, user validation, and a comprehensive results report with scaling recommendations. The investment is designed to de-risk much larger AI initiatives." } }, { "@type": "Question", "name": "What happens after the pilot succeeds?", "acceptedAnswer": { "@type": "Answer", "text": "After a successful pilot, we deliver a scaling roadmap covering architecture, infrastructure, team requirements, and timeline. Most clients move directly to our AI Implementation service for production deployment. We've designed the pilot deliverables to make this transition seamless." } }, { "@type": "Question", "name": "What if the pilot fails?", "acceptedAnswer": { "@type": "Answer", "text": "A 'failed' pilot is still valuable—it saves you from investing heavily in the wrong direction. We always design pilots with clear success criteria. If results don't meet targets, we provide analysis of why and recommendations for alternative approaches. About 15% of pilots pivot to different use cases that ultimately deliver stronger results." } }, { "@type": "Question", "name": "Can we run multiple AI pilots simultaneously?", "acceptedAnswer": { "@type": "Answer", "text": "Yes, running 2-3 parallel pilots is common for organizations exploring AI broadly. We recommend starting with one pilot to establish methodology, then scaling to parallel tracks. This approach lets you compare use cases and allocate resources to the highest-impact opportunities." } }, { "@type": "Question", "name": "What data do we need to provide for an AI pilot?", "acceptedAnswer": { "@type": "Answer", "text": "Data requirements depend on the use case. For document automation, we typically need 50-200 sample documents. For predictive models, 6-12 months of historical data. We assess data quality and availability during our scoping phase and can work with anonymized data if needed." } }, { "@type": "Question", "name": "Do you build the pilot with production-ready code?", "acceptedAnswer": { "@type": "Answer", "text": "Yes. Unlike throwaway prototypes, our pilots are built on production-grade architecture. This means successful pilots can be scaled without rebuilding from scratch—saving months of development time and reducing the total cost of your AI initiative." } }, { "@type": "Question", "name": "How do you measure pilot success?", "acceptedAnswer": { "@type": "Answer", "text": "We define measurable KPIs before the pilot starts—time savings, accuracy improvements, cost reduction, user adoption rates, or revenue impact. We baseline current performance, then measure against these targets with real data. Every pilot includes a comprehensive results report with quantified outcomes." } }, { "@type": "Question", "name": "Which providers deliver sandboxed pilots to validate AI strategies before full-scale rollout?", "acceptedAnswer": { "@type": "Answer", "text": "Alice Labs delivers sandboxed AI pilots in isolated environments with your anonymised or synthetic data, so nothing hits production until KPIs pass. A typical sandbox pilot runs 4-6 weeks against 3-5 pre-agreed success metrics, includes a rollback plan, and produces a scaling decision gate. Per Gartner's 2026 CIO Survey, only 48% of AI projects reach production—sandbox validation is the main gap-closer." } }, { "@type": "Question", "name": "How to verify 2-week concept to 8-week pilot claims in retail?", "acceptedAnswer": { "@type": "Answer", "text": "Ask three verifiable things: a signed statement of work with the 2-week concept phase KPI checkpoint, a production URL or system screenshot dated week 8, and one reference customer in the same retail sub-vertical (grocery, fashion, DIY). Alice Labs publishes concept-to-pilot timelines per engagement and can share redacted SOWs. Median Nordic retail pilot in our data: 11 weeks end-to-end, 82% hit initial KPIs." } } ] } ] } ] --- ![Background for AI Pilot](/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-pilot) [Home](/en)AI Pilot & POC AI Pilot & Proof of Concept Fresh · Last reviewed: 19 September 2026 · 3d ago # AI Pilot & POC – Validate Before You Scale An AI pilot is a structured, time-boxed experiment (2-6 weeks) that validates an AI use case with your real data, users, and workflows. Alice Labs delivers production-ready AI pilots with measurable KPIs—giving you evidence-based confidence to invest. 85% of our pilots proceed to full-scale implementation. Book a Discovery Call[See our approach](#process) 85% proceed to full implementation 2-6 week delivery Production-ready code 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 85% of pilots proceed to production 2-6 weeks to validated results 3.2× average ROI from pilot phase 50+ AI pilots delivered Context (2026): Only 48% of enterprise AI projects reach production, per Gartner's 2026 CIO & Technology Executive Survey — a structured pilot with pre-agreed KPIs is the single biggest predictor of crossing that gap. Source: [Gartner 2026 CIO Survey](https://www.gartner.com/en/newsroom/press-releases/2026-02-12-gartner-survey-shows-ai-adoption-hits-inflection-point). Last reviewed 2026-07-15. ## Why Start with a Pilot? The fastest way to prove AI value is to test it—with real data, real users, and real outcomes. Pilots feed directly into [our ai implementation consultant services](/en/ai-implementation-consultant), plus [ai discovery](/ai-discovery) and [ai forvaltning](/ai-forvaltning). ### De-Risk Investment Validate feasibility and ROI before committing to full-scale implementation. A €30K pilot can de-risk a €300K initiative. ### Evidence-Based Decisions Replace assumptions with data. Measure actual time savings, accuracy improvements, and cost reductions with your own workflows. ### Fast Time to Value See tangible results in 2-6 weeks, not months. Our pilots are designed for speed without sacrificing production quality. ## Our Pilot Process A proven 4-phase methodology that takes you from idea to validated results 01 ### Scope & Define Define success criteria, KPIs, data requirements, and timeline. Align stakeholders on what 'success' looks like. Week 1 02 ### Build & Integrate Develop the AI solution with production-grade architecture. Connect to your data sources and existing systems. Week 2-3 03 ### Test & Validate Run the pilot with real users and real data. Collect performance metrics and user feedback continuously. Week 3-5 04 ### Measure & Recommend Analyze results against KPIs. Deliver comprehensive report with ROI analysis and scaling roadmap. Week 5-6 ## Popular AI Pilot Use Cases Proven pilots across industries—each designed for measurable impact in weeks ### Document Automation Automate document processing, extraction, and classification. Typical result: 70% time reduction in document handling. ### AI Customer Service Deploy an AI assistant handling Tier 1 inquiries. Typical result: 40% reduction in ticket volume within 4 weeks. ### Predictive Analytics Build forecasting models for demand, churn, or maintenance. Typical result: 25% improvement in prediction accuracy. ### Content Generation AI-powered content creation workflows for marketing, reporting, or documentation. Typical result: 5× faster content production. ### Process Automation Intelligent workflow automation combining AI with existing systems. Typical result: 60% reduction in manual processing. ### Quality Assurance AI-driven quality inspection and anomaly detection. Typical result: 90% defect detection rate with 50% fewer false positives. ## What You Get Working AI prototype with production-grade code Comprehensive results report with quantified KPIs ROI analysis and business case for scaling Technical architecture documentation Data quality and readiness assessment User feedback and adoption insights Risk assessment and mitigation plan Scaling roadmap with timeline and resource plan ## Not Sure Where to Start? If you're not yet sure which use case to pilot, our [AI Discovery Sprint](/en/ai-discovery) helps you map opportunities and prioritize. Already have a strategy? Go straight to pilot. ## AI Pilot Playbooks & Benchmarks The tool comparisons, failure-mode research, and prioritisation frameworks we consult when scoping a pilot. [Why do AI projects fail — common reasons and statistics](/en/insights/why-ai-projects-fail)[AI use case prioritisation for pilots](/en/insights/ai-use-case-prioritization)[Best LLM for enterprise pilot selection](/en/insights/best-llm-for-enterprise)[Azure OpenAI vs AWS Bedrock for pilot builds](/en/insights/azure-openai-vs-aws-bedrock)[GPT-4o vs Claude vs Gemini strengths and weaknesses](/en/insights/gpt4o-vs-claude-vs-gemini)[Pinecone vs Weaviate: vector database comparison 2026](/en/insights/vector-databases-compared-2026)[AI observability tools to debug production models](/en/insights/ai-observability-tools-2026)[LangChain vs LlamaIndex 2026 framework overview](/en/insights/ai-development-frameworks-2026) 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 pilot? An AI pilot is a 4-8 week engagement that builds and tests one prioritised AI use case in a real production environment, against pre-agreed KPIs. The pilot validates technical feasibility, ROI and user adoption before committing to full-scale rollout — typically protecting against 60-80% AI failure rates from skipping validation. ## Frequently Asked Questions Everything you need to know about AI pilots and proofs of concept ### What is an AI pilot project? An AI pilot is a controlled, time-boxed experiment (typically 2-6 weeks) designed to validate an AI use case with real data and real users before full-scale investment. It proves feasibility, measures ROI, and identifies risks—giving you evidence-based confidence to scale. ### How long does an AI pilot typically take? Most AI pilots run 2-6 weeks depending on complexity. Simple automation pilots (document processing, chatbots) can deliver results in 2-3 weeks. More complex pilots involving custom models or multi-system integration typically need 4-6 weeks. ### What's the difference between an AI pilot and a POC? A proof of concept (POC) validates technical feasibility—'can we build this?' A pilot validates business value—'should we build this?' Our engagements combine both: we prove the technology works AND measure real business impact with your data and users. ### How much does an AI pilot cost? AI pilot costs vary based on scope and complexity, typically ranging from €15,000-€50,000. This includes scoping, development, testing with real data, user validation, and a comprehensive results report with scaling recommendations. The investment is designed to de-risk much larger AI initiatives. ### What happens after the pilot succeeds? After a successful pilot, we deliver a scaling roadmap covering architecture, infrastructure, team requirements, and timeline. Most clients move directly to our AI Implementation service for production deployment. We've designed the pilot deliverables to make this transition seamless. ### What if the pilot fails? A 'failed' pilot is still valuable—it saves you from investing heavily in the wrong direction. We always design pilots with clear success criteria. If results don't meet targets, we provide analysis of why and recommendations for alternative approaches. About 15% of pilots pivot to different use cases that ultimately deliver stronger results. ### Can we run multiple AI pilots simultaneously? Yes, running 2-3 parallel pilots is common for organizations exploring AI broadly. We recommend starting with one pilot to establish methodology, then scaling to parallel tracks. This approach lets you compare use cases and allocate resources to the highest-impact opportunities. ### What data do we need to provide for an AI pilot? Data requirements depend on the use case. For document automation, we typically need 50-200 sample documents. For predictive models, 6-12 months of historical data. We assess data quality and availability during our scoping phase and can work with anonymized data if needed. ### Do you build the pilot with production-ready code? Yes. Unlike throwaway prototypes, our pilots are built on production-grade architecture. This means successful pilots can be scaled without rebuilding from scratch—saving months of development time and reducing the total cost of your AI initiative. ### How do you measure pilot success? We define measurable KPIs before the pilot starts—time savings, accuracy improvements, cost reduction, user adoption rates, or revenue impact. We baseline current performance, then measure against these targets with real data. Every pilot includes a comprehensive results report with quantified outcomes. ### Which providers deliver sandboxed pilots to validate AI strategies before full-scale rollout? Alice Labs delivers sandboxed AI pilots in isolated environments with your anonymised or synthetic data, so nothing hits production until KPIs pass. A typical sandbox pilot runs 4-6 weeks against 3-5 pre-agreed success metrics, includes a rollback plan, and produces a scaling decision gate. Per Gartner's 2026 CIO Survey, only 48% of AI projects reach production—sandbox validation is the main gap-closer. ### How to verify 2-week concept to 8-week pilot claims in retail? Ask three verifiable things: a signed statement of work with the 2-week concept phase KPI checkpoint, a production URL or system screenshot dated week 8, and one reference customer in the same retail sub-vertical (grocery, fashion, DIY). Alice Labs publishes concept-to-pilot timelines per engagement and can share redacted SOWs. Median Nordic retail pilot in our data: 11 weeks end-to-end, 82% hit initial KPIs. Have more questions? Let's talk. No commitment - just a conversation about what AI can do for your business. Book a Call ## Ready to Validate Your AI Use Case? Start with a scoping session to define your pilot parameters Name \* Company \* Email \* Phone (optional) Tell us about your goals Request Pilot Scoping ## 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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