The best way to find out whether an AI teammate will help your business is not a strategy deck — it is a short, focused pilot. Here is how a good one runs, start to finish, in about a month.
Week 1: Map
We sit with your team and find the repetitive work that eats the most time. We pick one task that is high-volume, rule-based, and low-risk — the ideal first win. We agree on exactly what success looks like: hours saved, errors reduced, a report that now writes itself.
Week 2: Deploy
We install the AI teammate on your own machines and connect it securely to the files and systems the task touches. Nothing leaves your control. We build the specific routine for the chosen task and test it against real examples from your business.
Week 3: Train and tune
Your team starts using it on live work while we watch closely and tune. This is where the routine gets sharp: the edge cases get handled, the output gets formatted the way you actually want it, and your staff learn to trust where it draws the line.
Week 4: Measure
We compare against the baseline we set in week one. How many hours came back? What stopped falling through the cracks? You end the month with a clear, honest number — and a decision you can make with real evidence.
- One task, well chosen, not a boil-the-ocean project.
- Fixed scope and fixed price — you know the cost up front.
- Deployed on your machines, your data stays with you.
- A measurable result at the end, not a vague promise.
What you have at the end
Either a working automation that is already saving hours and a clear case to expand — or an honest read that this particular task was not the right fit, at a small, fixed cost. Both are wins, because both replace guessing with knowing.
Ready to open the door? Ouvrix puts an AI teammate — powered by Claude — to work inside your company, connected securely to your own tools. We do the technical part; you stay focused on the business. Book a call at [email protected].