Service

Artificial intelligence

Concrete, well-governed use cases.

We help you identify where artificial intelligence can bring real value to your business. From intelligent assistants to task automation, we design solutions adapted to your needs, with a clear framework for the confidentiality, security and use of your data.

Gros plan sur une puce électronique, illustrant l'intelligence artificielle

Artificial intelligence opens up new possibilities for businesses, but integrating it must meet specific needs.

Your teams spend time searching for information, handling repetitive requests or performing tasks that could be simplified. Some processes take up significant resources when part of the work could be assisted or automated.

We help you identify these opportunities and design artificial intelligence solutions adapted to your reality.

Whether it’s creating an assistant that can answer your employees’ questions, making use of your internal documents or automating certain tasks, we aim to integrate AI where it brings concrete value.

Our approach favours measurable results, control over data and the ability to keep a human in the loop when the situation requires it.

What we do

  • Identifying use cases
  • Proofs of concept and prototyping
  • Intelligent assistants and document search
  • Artificial intelligence agents
  • AI-assisted automation
  • Data governance and protection

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.

Frequently asked questions

What types of artificial intelligence projects can you deliver?

We can work on different types of projects: intelligent assistants, document search, AI agents, process automation, document analysis and the integration of artificial intelligence models into your applications. The solution depends on your need, your data and your environment.

Do I need large amounts of data to use AI?

Not necessarily. Some projects can work from documents, procedures or data already available in your organization. What matters is checking whether the information is relevant, accessible and of good enough quality to meet the need.

How long does an artificial intelligence project take?

It depends on the scope of the project, the complexity of the integrations and the availability of data. A proof of concept can be carried out within a limited scope, while a solution integrated with several systems generally requires more work. We favour progressing in stages to validate results before expanding the project.

Is my data used to train AI models?

It depends on the model and the service used, as well as their data processing terms. We review these elements from the design stage to choose an architecture suited to your confidentiality requirements. Depending on the context, models hosted in your own infrastructure can also be considered.

Can AI be used with our current applications?

Yes. An artificial intelligence solution can be integrated into your existing applications, databases and tools when the interfaces and technical conditions allow it. The goal is to make the most of your current environment rather than adding new tools unnecessarily.

Can AI make decisions or take actions automatically?

Some systems can carry out tasks according to defined rules and permissions. However, the level of autonomy must be adapted to the risk associated with each action. For sensitive operations, we can include human approval before execution.

What you get

  • Identification of use cases suited to your organization
  • A proof of concept to validate feasibility and expected value
  • Intelligent assistants adapted to your documents and information sources
  • Agents and automations integrated into your processes
  • A defined framework for confidentiality and data management
  • Control and approval mechanisms adapted to the risks
  • Support to integrate, maintain and evolve your AI solutions

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Have a project in mind? A high-performing solution to build?

Let’s talk about your needs, no strings attached.

A question before you start?

Write to us: we’ll reply with a first lead.

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