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AI Discovery finds real business use cases and builds a clear, practical roadmap for AI implementation.

AI Discovery
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Many companies start AI projects without a clear goal or measurable outcome. AI Discovery helps you focus on real business impact — identifying where AI brings value, testing solutions early, and turning insights into results.

Turn AI potential into business impact - step by step

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Identify AI opportunities
Find where AI can support your business. We show you practical use cases and give you clear insights, so you can explain and justify AI decisions confidently, even if it’s your first project. Outcome: Clear roadmap and business-ready AI concepts.
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Implement and drive change
Integrate AI into your workflows or products with guided steps. Your teams adapt faster, measure real results, and turn AI into daily business value. Outcome: Successful adoption and measurable ROI.
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Evaluate technology readiness
Test before you invest. Pilot projects prove that AI fits your goals, data, and infrastructure. Outcome: Proof of value before you invest.
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We ship AI to production
While only 5% of AI projects reach production (MIT Technology Review), more than 75% of our AI solutions are deployed and used in real environments.

How our clients use AI Discovery

Organizations across industries use AI Discovery to solve real problems and accelerate innovation.

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Optimize back-office operations
Automate workflows in finance, HR, and marketing. AI tools reduce inefficiencies, improve accuracy, and free teams for higher-value work.
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Improve customer experience
Use AI to personalize support, speed up service, and scale engagement — without hiring more staff.
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Build AI into a digital product
Use AI to personalize support, speed up service, and scale engagement, without hiring more staff.
AI expert Michal Kosztowny
Michał Kosztowny
AI Discovery Expert

Book a free consultation and learn how AI Discovery can support your organization.

AI Discovery process – how it works 

Our AI Discovery process combines research, workshops, and technical validation. It helps you find where AI creates real value, test ideas fast, and prepare your organization for confident rollout.

1
Understand business objectives
Define where AI can make the most impact. This step includes workshops and business analysis to align AI goals with your company strategy.
2
Assess data availability and quality
Review your existing data systems and find what’s missing to support AI projects. We evaluate data readiness to ensure a solid foundation for reliable AI outcomes.
3
Identify opportunities and use-cases
Pinpoint problems AI can solve with the highest business value. We prioritize use cases based on feasibility, ROI, and their potential to create measurable business results.
4
Technical validation
Confirm that your AI ideas are feasible and scalable. This stage tests the technical environment and ensures the proposed solution can grow with your business.
5
Prototype and validate with users
Build a prototype and test it in real conditions. We turn validated ideas into functional demos to collect feedback before development begins.
6
Prepare for the MVP
Plan the next steps and move toward execution. This phase connects strategy and delivery — translating discovery insights into a clear development roadmap.

Frequently 
asked questions

Is AI Discovery service suitable for companies with little to no AI experience?

Yes, our AI Discovery service is designed to support organizations at all levels of AI maturity. For those at an early stage, we provide clear guidance and help build a solid foundation by identifying practical use cases, assessing readiness, and outlining a strategic roadmap for implementation.

How do you ensure that AI recommendations align with our business strategy?

We start by thoroughly understanding your company's strategic priorities, challenges, KPIs and long-term objectives. Our recommendations are developed in close collaboration with your leadership to ensure that each proposed AI initiative directly supports measurable business outcomes and aligns with your overall vision.

Is our data secure during the AI Discovery process?

Absolutely. We follow strict confidentiality and data privacy protocols. Any data shared is handled securely, and we’re happy to sign NDAs or align with your internal compliance requirements.

How do you address security concerns in AI adoption?

We understand that security is a top priority in any AI initiative. That’s why all our projects are secure by design - from initial discovery through to implementation. We incorporate data protection, compliance, and risk mitigation strategies at every stage to ensure your AI integration is safe, trustworthy, and aligned with regulatory standards.

Do you help our team build AI knowledge and capabilities during the project?

Yes. A core part of our approach is enabling your team, and not just delivering insights. We actively involve key stakeholders throughout the process, providing tailored guidance, training, and knowledge transfer so your organization builds lasting AI competence and confidence.

Can the service be tailored to our internal capabilities and pace?

Yes. Whether you’re looking for a high-level roadmap or deep technical evaluation, we adjust the scope, depth, and timeline to align with your team’s experience, resources, and decision-making process.

Discuss AI opportunities for your business