Why Choose Nomtek?
We help companies release AI solutions faster and validate ideas sooner. Prioritizing outcomes, we propel your product to success with dedicated, goal-oriented teams of 2-30 specialists.
Mobile native products, cross-platform apps, AI solutions, and AR/VR products shipped.
Senior designers and developers supported by dedicated product managers.
Active users of a single app over the years.
Average team member experience
Two Workshops, One Outcome: Clarity
The AI workshop gives you the clarity to make the best business decisions and a roadmap to their implementation.
Exploratory AI Workshop
For teams exploring how AI could create value.
- Outcome: 1–3 promising AI concepts ready to socialize internally or prioritize for PoC
- Ideal when:
– You’re not sure what’s possible or valuable
– You want to stimulate internal alignment and creativity
Used by: Vogue Singapore – shaping AI around the theme of kinship & storytelling
Refinement AI Workshop
For teams with an idea they want to shape into a solid PoC.
- Outcome: Clear PoC direction with known assumptions, risks, and eval scaffolding
- Ideal when:
– You already have a product idea
– You need to translate it into something buildable, testable, fundable
Used by: Latarnik CEO – defining persona, direction, risks for AI chatbot MVP
Built By Product Teams Who Actually Ship AI
Product-first, not model-first
We focus on value and outcomes, apart from solid architecture.
Cross-functional lens
Tech, design, and strategy voices in every workshop.
Speed + depth
We balance lean process with meaningful insight for maximum value.
Workshops run by senior product consultants
Not facilitators, but AI builders who design and deploy solutions that target high-impact use cases.
What sets Nomtek apart is their cross-functional approach: they assembled a diverse team with expertise spanning UX, development, and product strategy to ensure that the solution would be practical, scalable, and aligned with our long-term goals. Their collaborative mindset and ability to explain complex topics in an accessible way made the entire process feel like a true partnership.
We’re excited to continue this journey together and can confidently recommend Nomtek as a reliable, proactive, and thoughtful partner for any AI-driven product development.
Delivery & Logistics — AI Innovation Sprint
Lightweight by design. High leverage by outcome.
Total Duration: ~1-2 weeks
Held at your location or online, length includes preparation and workshops.
Live sessions comparison
Exploratory: 4-hour theme-focused workshop with breaks
Refinement: 2x 5-hour problem-focused workshop with breaks
Pre-workshop steps
Alignment call
Optional sync or async AI education
Client playbook (agenda, expectations, tool guide)
Team roles clearly assigned
Post-workshop
Structured outputs (idea one-pagers or PoC baseline), plus optional follow-up validation sprint
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.
Your AI Workshop Co-Leads
Basia Rogos-Turek
Product Manager
Łukasz Kincel
Innovation Manger
Build your AI strategy
AI Workshops Designed for Execution
Not just a workshop — a product catalyst. These aren’t “innovation theatre” sessions. Every module is built to inform real product or PoC work.
Clarity on where AI makes sense — and where it doesn’t
Identify realistic, high-impact AI use cases for your business. Avoid hype traps and focus only on opportunities that match your data, goals, and capabilities.
Structured documentation for dev teams and leadership
Walk away with concise, well-organized documentation that clearly outlines your AI strategy — ready to share with technical teams, leadership, or partners.
A stronger foundation for funding, prioritization, and planning
Use workshop outputs to support business cases, secure stakeholder buy-in, and confidently scope your next steps.
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.
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.
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Case studies
Go beyond the obvious. Co-create with teams who value impactful experiences and products.
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Automating mortgage underwriting with multi-agent AI
Friday Harbor
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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
