High-Impact AI Strategy Workshops

Cut Through Endless Options and Tap into AI Potential

Identify Your Best AI Opportunities

Understand where AI can create value and translate into tangible business results — and where it might not be worth the effort.

Evaluate the feasibility of generative AI for your business

Assess your data, technology, and processes to see what’s needed to make AI work in practice.

Build alignment between business and technical teams

Create a shared view of goals, challenges, and next steps so everyone pulls in the same direction.

Move from uncertainty to a shared understanding of possibilities

Identify realistic opportunities and use cases to avoid wasting time on ideas that won’t deliver impact.

How we help — Workshop overview

The AI workshop gives you the clarity to make the best business decisions and a roadmap to their implementation. We look at your business, data, and technology to find where AI makes sense — and where it doesn’t.

Onsite: 1–2 days (6h/day)

Held at your location for deeper collaboration and fewer distractions.

Online: 1–3 days (4h/day)

Remote sessions split into shorter blocks to fit around your team’s schedule.

Ideal group: 5–6 participants (max: 10)

Small groups allow for focused discussion and active participation.

AI Technologies We Use

LangChain

Llama

PyTorch

Pinecone

Claude

Gemini

AI Workshop Process

One week before the live sessions, we share guided questions to understand your business, product, users, and goals. This helps us come into the session focused — and saves time for more meaningful collaboration. We work in short AI discovery sprints:

01

Setting the Context & Goals

We begin by aligning on what’s already known — and what still needs to be clarified. Based on pre-workshop inputs, we revisit the business context, unpack expectations, and identify core challenges. Is the AI objective already defined, or will it emerge during the session? This is where we establish that.

02

Exploring the Problem Space

Instead of jumping into solutions, we take time to understand the environment and people involved. We apply structured evaluation methods like Gartner’s AI Opportunity Radar Framework to help identify where AI brings real impact and create space for meaningful AI interventions.

03

Mapping AI Capabilities to Opportunities

Now we start thinking about solutions. We explore how AI — including GenAI — can address the challenges we uncovered. We balance creativity with realism, assessing feasibility based on your data, tooling, and internal capabilities.

04

Prioritizing What Matters

With a clearer picture of what’s possible and valuable, we move into prioritization. We use practical methods (like MoSCoW or impact/effort) to help identify which ideas are worth pursuing — and define a focused AI goal.

05

Planning the Next Steps

We wrap up by laying out a concrete path forward. If you choose to move into prototyping, we help define the scope, goals, and team setup — making sure everyone’s aligned.

two people brainstorming during workshops

AI Workshop Co-Leads

Basia Rogos-Turek

Product Manager

Łukasz Kincel

Innovation Manger

Build your AI strategy

AI Workshop Deliverables

You’ll receive a structured summary of early-stage product requirements document (PRD), including key insights, decisions made, and strategic next steps.

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Key decisions and insights

A clear record of what matters — from technical considerations to business priorities.

Use cases worth exploring

Focused ideas selected for their potential impact and feasibility, not just theoretical value.

Risks and constraints

Highlights of what could block progress and where extra attention is needed.

PoC scope (if relevant)

A starting point for action: what to build, what to measure, and how it fits the bigger picture.

Next steps for stakeholders

Concrete recommendations to keep momentum — tied to owners, timing, and outcomes.

Artificial Intelligence Use Cases

We’re currently working with the Center for Civic Education to develop an AI assistant for elections. The assistant is powered by a retrieval-augmented generation (RAG) system trained on documents provided by the organization — including PDFs and other materials. Alongside, we’re building a tool to automatically test and validate the quality of answers using a custom evaluation framework.
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Beyond search and retrieval, AI can support task automation and customer service across industries. Assistants can handle routine interactions, triage issues, and surface key information for human operators. With a clear structure and thoughtful design, AI helps teams spend less time chasing data and more time making decisions.

See All Use Cases

Personalized Fitness Programs at Scale

Efficient Bottleneck Detection and Process Search

Turning Production Data into Insight with AI

AI Support for Patient Communication and Documentation

See all use cases

Case studies

Go beyond the obvious. Co-create with teams who value impactful experiences and products.

View All Projects

app screens from Friday Harbor AI underwriting analysis

Automating mortgage underwriting with multi-agent AI

Friday Harbor

screens from Monster AI Job Search feature

Helping candidates perform better at job interviews using AI

Monster AI

Helping students learn and understand basic math using artificial intelligence

Fibo — AI Math Tutor

Leveraging AI to build a content summarization app for better knowledge retention

taim

Creating a personalized audio listening experience with content curated by artificial intelligence

Audioburst

Explore AI Opportunities

Frequently Asked Questions

Dedicated team

Unpack your idea with dedicated feasibility agents. A team of three experts will work on all angles to check technical feasibility and prepare an initial roadmap. Each iteration lasts one week.

High transparency

The whole process is highly transparent — you’re in the loop at every moment. If the first week reveals additional areas for exploration, we continue iterating. This way we generate enough valuable data to speed up your decision-making.

Rich deliverables

Deliverables — Every tech feasibility sprint ends with a report, roadmap, or prototype, depending on the duration of the workshop and our findings.

Custom Process

Throughout the workshop, we integrate custom processes crafted using collected insights and internal expertise. A tailored approach is optimized for confident execution in the later stages.

What are the 4 types of AI?

We help workshop participants understand which types of AI power today’s products and which ones are still future concepts. You’ll learn how to leverage existing technology for your business without overcomplicating the strategy. We introduce these ideas only where relevant — in a language that’s easy to follow, without unnecessary jargon.

AI is often described in four types: reactive machines, limited memory, theory of mind, and self-aware systems. In our sessions, we focus less on abstract definitions and more on practical usage.

Are AI workshops suitable for all companies?

Yes, AI has use cases across a variety of industried. But to prepare for the future and stay ahead in your industry, your team needs a clear strategy backed by practical knowledge.

Our AI workshop helps you create that strategy. We introduce the right concepts at the right time — focusing on the real-world applications, not hypothetical trends. You’ll gain access to collaborative tools like Miro and FigJam to capture insights and create your plan.

We support workshop participants across every step — from initial problem framing to use case evaluation and development planning. Every session is designed to enable teams to participate actively, share their expertise, and leave with a strategy they can act on.

If you’re ready to join the next workshop or need more answers, contact us directly — we’re happy to help you create clarity, reduce risk, and build an AI strategy that works.

What is the AI strategy roadmap?

An AI strategy roadmap is a simple structure that connects ideas to execution. It describes the key stages your team will go through:

Define the business problem
Identify use cases
Map supporting data and services
Develop a PoC or prototype
Expand capabilities if the solution proves valuable

The roadmap is a form of guide for stakeholders — showing how technology fits into your product or service offering. We support this process with templates, tools, and structured modules that help your team stay focused and aligned.

How to build your AI strategy?

Building an AI strategy starts with research and preparation. You need to analyze your current data sources, understand your business challenges, and identify clear opportunities for AI.

In the workshop, we help you discuss and prioritize problems worth solving. We guide you in defining a strategy that reflects your audience needs, product goals, and available resources. The goal is to create a focused plan that enables action — while managing risk and avoiding overinvestment in uncertain areas. To speed up the development of a potential prototype, we can use AI-driven development and reusable components.

How much does the AI bootcamp cost?

We don’t offer a bootcamp. This is a strategy workshop developed specifically for companies that want to move from exploration to development.

Pricing depends on the scope and engagement. In some cases, we offer the workshop at no cost if you choose to proceed with an AI prototype and agree to a public case study describing the outcomes.

This approach allows us to create tangible value early while supporting future collaboration.

What is the best course for AI?

There are many online programs that teach AI skills — from data science fundamentals to deep learning or prompt engineering. But a course is different from what we offer.

Our AI workshop is not a pre-recorded course. It’s a live session designed for businesses that want to expand their knowledge of AI while working on real problems. We focus on enabling better decision-making, problem solving, and technology adoption — not abstract theory.

We provide a complete overview of AI concepts, tools, and models — but always in the context of your goals, systems, and future plans.

What is an AI workshop?

An AI workshop is a structured session where workshop participants work with dedicated instructors to explore how artificial intelligence can create value in their business. The agenda covers both the basics of AI and practical applications — helping teams gain a shared understanding of key concepts, available models, and real-world use cases.

This is not generic training — the session is designed around your business context. We discuss challenges, track existing data, and support decision-making through hands-on collaboration. The goal is to move from exploration to a clear plan of action.