Translate your business logic into a live GenAI pilot in a focused software prototyping session. Stop discussing AI – start using it!
Translate your business logic into a live GenAI pilot in a focused software prototyping session. Stop discussing AI – start using it!
Test a real business scenario in hours instead of spending months on planning and internal debates.
Understand which AI use cases are worth pursuing before investing in full development.
Test and compare leading GenAI platforms such as OpenAI, Claude, and others before committing to a technology stack.
Leave the session with a clear execution plan based on what worked in the prototype.
Assess architecture, governance, and security implications before committing to full development.
Watch ideas turn into working prototypes and refine them during the session as insights emerge.
During a workshop organized as part of Utah Tech Week, participants built a prototype designed to help employees quickly find information across multiple internal documents.
Led by Anthony Barringer, the session walked participants through a realistic scenario many organizations face: new employees struggling to locate knowledge scattered across PDFs, Word documents, and internal documentation systems.
Participants uploaded several documents into the environment and built an AI-powered knowledge assistant that could retrieve answers, summarize relevant content, and guide users to the right information in seconds.
This type of prototype is often used to explore internal knowledge management, onboarding automation, and document search tools.
Together with you, we turn business logic into a working GenAI prototype during the workshop. Instead of discussing ideas in abstract terms, your team sees how the concept behaves in practice. For example, we can prototype a customer support assistant, a document analysis tool, or an internal data agent that retrieves insights from company knowledge bases. These rapid experiments are part of our prototype development services, helping teams move quickly from concept to tangible solutions.
Using our AI Opportunity Framework, we help identify processes where GenAI or agentic systems can create real business value. This may include automation of internal workflows, intelligent document processing, or AI-assisted decision support. The goal is to focus prototyping on ideas that are technically feasible and strategically meaningful.
We evaluate different GenAI models and tools during the session to determine which stack fits the use case best. This may involve comparing models such as OpenAI, Claude, or Gemini for tasks like summarization, reasoning, or structured data extraction. The result is a clearer understanding of which technology works best for the problem.
For more advanced scenarios, we design agent-based workflows where multiple AI components collaborate. These workflows can combine reasoning, retrieval, and task execution. Examples include multi-step research agents, automated document pipelines, or assistants that coordinate actions across different systems.
We assess the technical implications of deploying the prototype in a real environment. This includes data access models, API integration, and security considerations. For organizations in regulated industries such as finance or healthcare, we also discuss governance requirements and compliance constraints.
After the workshop, we summarize what worked, what needs improvement, and what the next development steps could look like. This may include architectural recommendations, model choices, or integration strategies. As a prototyping firm experienced in complex domains, we can also continue with full-cycle development and production deployment if the prototype proves valuable.
During one of our GenAI prototyping workshops, a small group of procurement leaders and a product owner explored how AI could simplify vendor evaluation and supplier discovery.
The prototype they built focused on a common procurement task: finding, evaluating, and comparing suppliers quickly when information is spread across documents, certifications, and internal systems.
The platform allows users to search for suppliers using natural language queries such as “organic wheat suppliers”. The system returns structured vendor profiles with key data like certifications, capacity, lead times, location, and risk indicators.
Users can then select multiple vendors and generate an AI-assisted comparison, showing differences across quality, reliability, price competitiveness, sustainability, compliance, and capacity. Visual score overlays and comparison tables help teams quickly see which supplier best matches their criteria.
The prototype also includes a risk monitoring dashboard that highlights supplier alerts and tracks risk signals across financial, supply chain, compliance, and environmental categories.
Finally, procurement teams can adjust evaluation criteria weights (quality, price, reliability, etc.) and instantly see how supplier rankings change.
Available online, on-site, or at our offices in Zurich, the Netherlands, Poland, or the United States. Sessions can be organized wherever your team is based.
Before the session, we provide clear guidance on what to prepare from both business and technical perspectives. During the workshop, our engineers support the process to ensure the rapid software prototyping runs smoothly.
We use our proprietary AI Opportunity Framework to identify high-value use cases and prioritize where AI can realistically create business impact. This structured approach helps teams focus on ideas worth prototyping.
If the prototype proves valuable, we can continue with full-cycle development. Our team has experience building secure systems in complex industries such as finance, healthcare, manufacturing and more.

Digital Strategy & Solutions Lead
Aligning business goals with GenAI prototypes, defining high-impact use cases, and shaping clear next steps after the workshop. Strong focus on turning “AI ideas” into testable workflows and stakeholder-ready decisions.

Head of Marketing
Framing the AI opportunity for executives, sharpening the business narrative around prototypes, and translating workshop outcomes into a clear internal pitch. Helps teams communicate the “why now” and “what’s next”.

Senior AI Architect
GenAI architecture, agentic AI design, and secure implementation patterns. Focus on data access, governance, and practical integration options so prototypes can move toward production in regulated environments.
We offer both. Most teams start with the workshop to quickly explore ideas and test feasibility. If the prototype proves valuable, we can continue with full prototype development services and later support production-ready development if needed.
The prototype is designed for validation. It helps teams test use cases, run early user research, demonstrate the concept to stakeholders, or pitch investors.
For complex systems – such as financial platforms, banking products, healthcare solutions, or energy infrastructure – the prototype is only the starting point. These products require further engineering, security work, and production architecture.
The session typically takes 1-3 hours. During this time, we explore the use case, build a working prototype, and test how it behaves in practice.
No. The workshop itself is free. Our goal is to help organizations experience the value of AI prototyping and understand where GenAI can create real impact before committing to development.
The optimal group size is 4-7 participants. This usually includes product leaders, technical stakeholders, and business decision makers. We have also run workshops with larger groups of up to 25 participants working in groups when needed.