Reengineering & Innovation

We build the minimum viable version in weeks

1. We translate the idea into a concrete flow and a quantifiable figure

   A working session on the actual process: who does what, with what systems, where time or margin is lost. We leave with the idea transformed into a visual flow diagram and an estimate of what it saves or generates if it works.

2. We agree on the success criteria before building

   What the test has to demonstrate and what metric it's measured with: response time, classification accuracy rate, hours freed up, reports generated. This is established in writing before starting. Without prior criteria, any test "passes".
3. With tools we already use in production, testing in parallel with the current process without affecting operations.

   You decide based on results

   Scale: the test is expanded, not rewritten, because it was designed with the final system architecture. Adjust: what the data indicates is corrected, and the measurement is repeated. Discard: the idea doesn't work, and you've known this in weeks, not after a year-long project.

Real-world examples

• Fleet management for a public tender: relational model (vehicles, services, inspections, replacements) with automatic alerts and reports aligned with the six annexes of the tender, built in a single sprint. Scalable to ~300 vehicles/month with ~€40/month of infrastructure.
• Go-to-market strategy from scratch for a manufacturer: branding for three product lines, conversion website, and two campaigns with 313 qualified leads, with automatic lead capture from the form.
• RAG based on proprietary knowledge: digital twin for estimating spare parts purchases from technical documentation and historical data.