AI development: create features useful to your operations
Developing an artificial intelligence function requires specifying what it should produce and how to judge its result. AXELITES starts with your problem, available data and usage constraints. The project distinguishes hypotheses to test from functions that can already be integrated into an application.
AI integrated into your processes
Turn a problem into a measurable function
Formalized problem
The task is described with its inputs, results and constraints. This definition allows several approaches to be compared without confusing the proposed technology with the need to solve.
Evaluation examples
Test cases represent common and difficult situations. They are used to examine errors and decide whether the function adequately meets the need before expanding it.
Application integration
Exchanges between the AI function and the rest of the software are prepared. Access, delays and incomplete responses are considered in the user journey.
Production monitoring
Useful monitoring observations are defined without excessive collection. Reported errors, consumption and source changes inform decisions to improve the function.
How we move forward together
Formulate the task
We define the expected result and situations where an error would matter. Data constraints and actual uses guide the initial study scope.
Compare approaches
Options are tested on examples suited to the task. Their limitations, usage conditions and costs are examined before selecting a development direction.
Develop exchanges
The chosen function is connected to the application and necessary controls. Failure situations and human approvals are integrated into the journey, not treated as secondary cases.
Monitor behavior
Usage feedback and control results are examined. Adjustments concern data, settings or the journey according to the causes of observed difficulties.
An evaluated prototype before deciding on a wider rollout.
Your questions, our answers
Practical answers to help you make the right decisions before starting your project.
Discuss my projectNot always. Existing services can meet some needs when properly integrated and evaluated. More specific development must be justified by data, constraints or expected results. We compare approaches before selecting this option.
The useful quantity depends on the task and chosen approach. Reliable, representative examples can matter more than a poorly defined volume. We examine data quality, diversity and usage rights before determining its suitability for the project.
The controls, access, error handling and monitoring necessary for real operation must be added. Results must be evaluated on representative cases. A prototype explores a hypothesis; integration requires preparation specific to the application and its users.
Let's define the AI function to develop
Bring examples of inputs and expected results for your task.