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AI Discovery helps businesses identify, evaluate and
implement AI solutions that align with their strategic
goals

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Turn AI potential into business impact - step by step

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Identify AI opportunities
Pinpoint where AI fits your business, with clear insights to confidently present and justify your choices internally, even if you’re new to AI
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Implement and drive change
Step-by-step guidance integrating AI into your workflows or product, ensuring your teams embrace it and your solution delivers measurable value
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Evaluate technology readiness
Get real-world proof from pilot tests, verifying AI meets your exact business needs before you commit to full investment
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We ship AI to production
While the industry average (according to MIT Technology Review) is only 5%, more than 75% of our AI solutions are shipped to production.

Here’s what our clients use AI Discovery for

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Optimize back-office operations
Enterprises and operations leaders automating internal workflows and building own tools. Finance, HR, marketing and other departments using AI workflows and agents to cut inefficiencies and free up teams.
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Improve customer experience
Scale-ups and enterprises focused on improving customer support, personalize engagement, and speed up service - without scaling headcount.
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Build AI into a digital product
Startups and product teams turning AI from a buzzword into a real product feature - backed by technical validation and aligned with value proposition.
AI expert Michal Kosztowny
Michał Kosztowny
AI Discovery Expert

Discover AI opportunities for your business

Let’s talk about how AI Discovery could support your business

How does that work? AI Discovery process

The AI Product Discovery process leverages advanced algorithms to analyze data, uncover market trends, and identify customer needs, enabling businesses to prioritize opportunities with
precision. This high-level approach streamlines decision-making, fosters innovation, and accelerates the creation of impactful products that align with market demands.

1
Understand business objectives
Identify your strategic goals, key challenges and areas where AI could have the most significant impact.
2
Assess data availability and quality
Evaluate the existing data infrastructure, the quality of available data and any gaps that need to be addressed to support AI initiatives.
3
Identify opportunities and use-cases
Explore potential problems or needs that AI can address that align with your business objectives and have a high likelihood of success.
4
Technical validation
Conduct a feasibility study to assess the technical viability of implementing AI solutions.
5
Prototype and validate with users
Design an interactive prototype and test with end-users.
6
Prepare for the MVP
Define the path to execution of the next steps.
Interesting facts

Companies utilizing generative AI report an average return of $3.70 for every dollar invested, with top performers achieving up to $10.30 per dollar.

AI adoption leads to significant cost reductions, with 62% of UK businesses reporting at least a 10% decrease in operational expenses, particularly in customer support and administrative tasks.

According to IDC, 84% of companies transitioned from pilot to production within six months, highlighting the swift integration of AI solutions.

According to a 2024 Gartner report, 85% of AI-related security incidents are preventable through best practices such as secure-by-design development, rigorous testing, and continuous monitoring. Organizations that integrate strong security protocols early in their AI adoption experience significantly fewer breaches and maintain trust with their customers and partners.

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

Book free consultation