Human in the loop
The AI does the work. A human approves.
On the cases that matter, the AI proposes and your teams decide. You stay in control, and the system learns from every correction.
It is the principle behind all our automations: the repetitive volume goes to the machine, the decision stays with your teams.
Fictional example.
The principle
Three roles, never mixed up.
Reading, sorting, data entry, drafting, checking: the repetitive volume, continuously.
On uncertain or sensitive cases, the AI proposes and your teams decide.
Corrections are used to retrain the model: it makes fewer mistakes over time.
Proof
Humans make the machine better.
Our commitments
AI that helps your teams, not AI that watches them.
We measure documents and turnaround times, never people.
Every decision leaves a trail: who approved, what, when.
What goes through on its own, what goes through a person: we decide together.
Questions
Will AI replace my employees?
No. It takes on the repetitive volume; your teams keep the decisions, the exceptions and the customer relationship. The same headcount handles more volume, without rushed hiring.
What happens when the AI gets it wrong?
The case goes to approval instead of going through on its own. The person corrects it in one click, and the correction is learned: the same mistake becomes rarer.
Do my teams need training?
A short onboarding is enough. In France, training can be funded through your OPCO (skills-funding body).