AI implementation
Demo in 2 weeks. Production pilot in 30 days.
Our promise: 30 days to the first real result. If we don't deliver, you don't pay the last installment.
In short
An AI implementation for a clear use case starts with a demo in 2 weeks, a testable MVP (Minimum Viable Product — a basic version of the product) in 4 weeks, and a production pilot in a maximum of 30 days. Expansion to adjacent processes or other teams is done in 2–4 week sprints, based solely on the ROI (Return on Investment) measured in the pilot.
- 2 weeks: functional demo with your data
- 4 weeks: MVP with human-in-the-loop
- 30 days: production pilot for the agreed scope
- 2–4 week sprints for expansion
The typical phased timeline
Week 1: discovery, process mapping, access to data and systems. Week 2: functional demo with real data. Weeks 3–4: MVP with human-in-the-loop and testing with the operational team. Weeks 5–6: hardening, audit log, team training, go-live with shadow mode. At 30 days, you are in production for the agreed scope.
What can shorten or lengthen the timeline
Three factors matter more than model complexity:
- Quality of existing data (hygiene, labeling, accessibility)
- Number of integrations (1 system vs. 5 systems)
- Speed of internal decisions (who approves, how quickly)
Why not a "6-month project"
Because it doesn't work. AI implementations that take 6 months before any deliverable miss real user feedback and result in products nobody uses. We deliver quickly, measure, and iterate.