AI pilot in 10 days – one use case implemented live
Not slides. A system that works.
Many AI projects stall not because the idea is missing – but because too much time passes between idea and implementation. Workshops are held, presentations are prepared, and in the end people wait for the next budget. The AI Pilot does it differently: in 10 working days, a working use case is created – live, tested, documented, handed over.
No slide deck. One system.
Approach
Day 1–2
Refine the use case
Together with the team, the use case is pared back to the essentials. What is the exact problem? What data is available? What is a realistic result in 10 days? Good use cases for a pilot include automating reporting, structuring customer communication, building knowledge management, and speeding up content production.
Days 3–5
Setup and initial implementation
Prompts, workflows, integrations. Depending on the use case, with Claude, Claude Cowork, Claude Code or n8n. For more complex requirements, also with Python and LlamaIndex. The goal is a first working run – not perfect, but real.
Important: Many prototypes are impressive – but cannot be scaled later. The result is disappointing in operation, poor performance or excessive costs. From the outset, we ensure that what is built can also scale.
Days 6–8
Testing, fine-tuning and handover to the team
The system is tested with real data and real situations. What works, and what does not yet? The team is involved — not as spectators, but as co-creators.
Days 9–10
Measurement and Presentation
What has been built? What works, and what does not? Initial measurements and an honest assessment: what else is needed to turn this into a scalable system? The results are presented to the executive team or the team, as a basis for the next decision.
What remains after that
A live system. A team that understands how it works. And an honest basis for the next decision: rollout, another pilot or scale-up. No exaggerated promises – but a concrete result in 10 days.
When does a pilot make sense
A specific use case exists, but no one has the time or know-how to implement it
The executive team wants to see results before investing more
The team should get to know AI – not in a training session, but live on a real problem
An existing solution should be evaluated or replaced
Difference from automation consulting
The pilot is clearly defined: one use case, 10 days, a clear result. Automation consulting is broader. It supports companies over several months as they build their AI infrastructure step by step.