AI POC Sprint
A working AI prototype on your real data. In just 2 weeks, see if and how AI works for your use case — with measurable results and a clear recommendation for the path to production. Whether RAG system, AI agent, or intelligent automation, the sprint delivers tangible evidence instead of theoretical slides.
Who a POC Sprint Is Ideal For
- Companies that need tangible proof before investing in AI
- Concrete use cases that need validation on real data
- Teams that need quick visible results for stakeholder buy-in
How the POC Sprint Works
Scope
Day 1–2Jointly define the use case, review and evaluate available data, and set measurable success criteria.
Build
Day 3–8Iteratively develop the prototype using RAG systems, AI agents, or automation pipelines — tailored to your specific use case.
Test
Day 9–12Test the prototype on your real data, measure performance against success criteria, identify weaknesses and iteratively improve.
Deliver
Day 13–14Live demo for stakeholders, technical documentation, source code handover, and a concrete proposal for next steps.