Our approach
An artificial intelligence project should start with a clearly defined need, not with the choice of a model or a technology.
1. Understand
We analyze your need, your processes, the users involved and the constraints related to your data and your IT environment.
2. Identify and frame
We identify relevant use cases, expected results and associated risks. We also define the project scope and the criteria that will be used to measure its results.
3. Experiment
We build a proof of concept or a first prototype to test the chosen approach with representative data and scenarios.
4. Integrate
When the results are conclusive, we integrate the solution into your existing tools and processes, taking access, security and data protection into account.
5. Validate and govern
We check the solution's behaviour, its limits and the quality of its results. We also define the necessary control and human approval mechanisms.
6. Evolve
After go-live, we can monitor its use, analyze the results and make the adjustments needed to gradually improve the solution.
Artificial intelligence should meet a need, not become a constraint.
Integrating AI doesn't mean replacing your tools, automating all your activities or handing every decision to a system.
Some tasks can be fully automated, others simply assisted. In many situations, human approval remains necessary.
We favour solutions whose operation, limits and responsibilities are clearly defined.
Our goal is to help you take advantage of artificial intelligence while keeping control of your processes and your information.