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Learn How to Adopt AI with Fewer Risks & Costs in our AI Discovery Workshop

Our structured AI Discovery Workshop helps SMEs and operational teams assess AI feasibility, reduce uncertainty and define the next practical steps.
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Define Your AI Strategy Based on Expert Industry Advice

Although many operational teams recognise the potential of AI, they often struggle to understand how it applies to their specific context or how to proceed without understanding risks. Our AI discovery workshop helps you answer these questions quickly.

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Create a Clear Vision for AI Transformation in Your Business

Define where AI fits into your current operations and product strategy. This creates a long-term perspective aligned with your company’s practical goals.

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Understand What is
Feasible and What is Not

Evaluate how AI can be incorporated into your current operational ecosystem and identify unrealistic goals. This puts you on the right path.

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Prepare Your
Teams for Strategic Adoption

Create internal clarity by aligning your decision-makers, stakeholders and team leads on responsible and realistic opportunities for AI adoption.

Badge "Top Computer Vision company Clutch 2023"

How the AI Discovery Workshop Creates Clarity & Direction in 3 Steps

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1. Understand Common AI Approaches

We reveal how companies are adopting AI using proven methods and processes in order to determine practically how you can improve your business, focusing on technical and customer potential.

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2. Uncover Challenges and Opportunities

Our AI experts help you map your stakeholder relationships to key customer user journeys. Mapping this you determine clear use cases for AI adoptions that improve your specific outcomes.

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3. Define
Your Future AI
Potential

We help you prioritise the most critical use cases and identify specific AI tools that can provide a meaningful improvement for your business and customer goals. You will be ready to start adopting AI.

Your AI Opportunity Roadmap & What We Work Through

This is the core of the AI discovery workshop. We use a structured workshop framework to guide your understanding and decision-making.
That way you to focus on the right questions and to develop a clear, well-thought-out approach to getting started with AI.

1. Explore Proven AI Applications

We start by reviewing proven AI applications across industries, as well as best practices for preparing your company internally for communicating your vision, reducing risks and ensuring alignment across teams.

2. Map Your Stakeholder Ecosystem

We identify your internal and external stakeholder landscape and clarify the touchpoints across teams, partners, and users. This helps to understand who will be impacted by AI adoption and where alignment is needed.

3. Outline Key Customer Journeys

We work through how your users interact with your product, service or process. This lets you see where AI can support better personalisation, automation or insights, mapped directly to your real-world workflows.

4. Identify Use Case Opportunities

You’ll define high-potential AI use cases based on your needs, data and goals. Each use case is structured by input, model, output and user value. This helps turn vague ideas into concrete proposals, ready for planning.

5. Review useful AI Tools for Your Use Cases

We provide a curated view of AI tools that match your use cases. You’ll leave knowing what types of models, infrastructure or third-party services are worth exploring, no vendor pitching or generic tech tours.

"Vertical timeline visual representing the structured five-step framework used in an AI Discovery Workshop, guiding businesses through value exploration, process mapping, use case framing, feasibility evaluation, and AI opportunity prioritisation."

AI Concerns You Can Put to Rest

Many teams hesitate to act on AI.
It is because the risks feel unclear.
Our AI discovery workshop solves this.

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Biased or unreliable AI Results

AI ideas often misfire due to poor data or missing context. Once a model is designed for a specific use case with the right approach, those issues can be avoided.

"Illustration of an eye with a blocked symbol indicating lack of transparency in AI, a key discussion point in AI Discovery Workshop sessions aimed at promoting explainability and responsible AI practices."

Lack of Transparency
in AI

The inner workings of AI often feel hard to trust. When transparency is designed in from the start, you get results your team can explain and defend.

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No Legal or Compliance Clarity

You might feel it's unclear what rules apply to your specific use cases. With legal and compliance framing, you know what’s allowed and what isn’t before you commit.

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AI Sounds
Risky and
Too Complex

AI promises often sound vague or too technical to manage. Once it’s broken down by feasibility and scope, it becomes a structured part of your product roadmap.

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Unintended Consequences and Side Effects

You think AI can often create problems that are difficult to understand. With proper risk mapping, you make confident decisions without introducing instability.

What Will You Leave With?

AI adoption comes with many questions. After our AI discovery workshop, you leave with clarity and structure.

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Personalised Feasibility Snapshot

A quick assessment of your team readiness, given your vision. You will know which ideas are viable now, which need more groundwork and which are unrealistic.

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Recommen-dation for
Direct Action

We provide guidance for your next steps and suggestions for AI Proof of Concepts, all of which are matched to your goals and setup. You will leave knowing what your next goal is.

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Workshop Summary Document

You will receive a structured summary document that can be used for team alignment, internal planning, communicating with stakeholders, and securing funding.

See AI Discovery Workshop based Development Success Stories

Read all Case Studies

What do our Clients Think About our Guiding AI Discovery Workshop

CarePath

‘Their mobile and embedded and AI experts integrated smoothly and took ownership of key parts of our product, from custom AI implementation, iOS and Android development to device connectivity and embedded hardware planning.’

Asterisk

Veronica Kirin, Founder & CEO
‘I’d recommend the workshop to any team building an AI product in a sensitive domain.’

Natal Mind

Aura Pyykönen, MD PhD
‘I can’t recommend Punktum’s expertise enough for any team wanting to integrate AI in meaningful and impactful ways.’

attuned

Ariana Chemtob, Founder of Attuned
‘In just one workshop, Punktum helped me bring clarity to my product, align on technical strategy, and prepare for funding conversations. Their support was a game-changer.’

Who Will Guide You Through the AI Discovery Workshop

Josua Ziegler

CEO

10 years of experience in startup and corporate strategy consulting.

Led digital transformation projects across health, finance and sports in Europe and Middle East. 

Christopher Taylor

Sr. Product Manager

Over 10 years experience in product and project management.

Led multiple startup and enterprise-level products in emerging technologies such as AI, automation and VR.

Krzysztof Radecki

CTO

18 years of R&D and technology project leadership experience. 

Led tech implementations at Opel, GE Money Bank, CGI, JLL, and Infomotion GmbH.

"Michal Kopczynski"

Michal Kopczynski

Machine Learning Expert

4 Years of experience in computer vision, deep learning, LLM, digital signal processing, and cloud infrastructure.

Specializes in designing scalable ML pipelines, optimizing models and deploying intelligent systems for real-world use cases.

Lukasz Fedorowicz

Workshop & Design Expert

More than 20 years of experience in digital design, user experience and workshop facilitation.

Designed and launched digital products across Scandinavian and international markets.

Clients We’ve Already Worked With

Your FAQs for our AI Discovery Workshop

Q1: Do I need AI experience to run this workshop?

A1: No prior experience is required. The session is built for strategy leads, product owners, and operational decision-makers who want to understand where AI can realistically support their business. We guide you through the process without technical jargon.

Q2: Can I do this if I don’t have any data yet?

A2: Yes. Many companies exploring AI are still building or structuring their data assets. We clarify what types of data are needed for different AI applications and help you assess your current state and readiness.

Q3: How do I know if AI makes sense for my product or business?

A3: That’s exactly what the workshop is for! We analyse your workflows, data, products and goals in order to determine where AI can deliver measurable value and where it may not be suitable.

Q4: Is the AI Discovery Workshop technical?

A4: Not in focus. This is a business-focused session designed for decision-makers, not engineers. We explore opportunities, risks and feasibility, only delving into technical details if they are helpful in your context.

Q5: What do I actually get from the workshop?

A5: You will receive a structured workshop summary including prioritised AI use cases, feasibility indicators, risk points and clear next steps. The summary is designed to support planning, internal alignment and briefing of technical teams or vendors.

Q6: Who is this workshop for?

A6: The workshop is suited for teams who are considering AI but want a structured way to explore it first. It’s helpful for leaders looking to modernise existing processes, companies that have internal data but no clear plan for using it, and teams who want to assess feasibility before committing to long-term investment. We adapt the depth and focus of the session based on your current questions and goals.

Q7: How long does the AI Discovery Workshop take?

A7: The session usually lasts between two and three hours, depending on the chosen format. You can choose the date and time, and you will need to complete a short intake form beforehand. You will receive the summary report within a few days. Follow-ups are available if needed.

Read More Insights on MVP Roadmaps & AI Projects

What else we can do for you?

Get in touch with us!