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AI prototypes
AI concept validation & prototyping
We help you identify viable AI use cases, build first prototypes and test whether the idea works with real users and real data.
- Clarity on which AI ideas are worth investing in
- A first working prototype in 2–4 weeks instead of a long analysis project
- Real metrics (time saved, quality, cost) instead of only hype and promises
- Less risk in later development – we experiment before you commit large budgets
What we deliver
- AI discovery workshops to map potential use cases
- Selection of 1–2 high-impact ideas based on impact, feasibility and risk
- A first clickable prototype or internal demo using real or realistic data
- Initial metrics to estimate time savings, quality impact and cost
- Recommendations for next steps (yes / no / under which conditions to proceed)
Typical outcomes
- A prioritised list of AI use cases for your business
- One or more working prototypes (assistant, workflow or chat interface)
- Feedback from real users or a pilot group
- A rough ROI and impact estimate for key scenarios
- A roadmap describing what it takes to move from prototype to production-ready solution
How we work
- Start from business goals, not technology – what problem should AI help solve
- Pick the right LLM and architecture (e.g. RAG, agent, workflow) for the use case
- Stand up a minimal solution quickly that people can actually use
- Test different scenarios, prompts and guardrails – not just the “happy path”
- Summarise findings in a format both leadership and engineering can act on
Technologies
OpenAIAnthropicAzure OpenAIRAGVector databasesPrompt engineeringAI agentsWebhooks & API integrations