You give us the problem.We build the AI system.

We start by exploring integration possibilities with your existing tools.

An automation typically handles a specific workflow. An AI Workforce coordinates multiple agents and processes around a broader objective.

It depends on the level of autonomy you define. Sensitive decisions can remain subject to approval.

Yes. We usually recommend starting with an initial, clearly measurable scope.

The primary goal is to handle certain repetitive or structurable tasks. The scope is defined according to the company's needs and which responsibilities should remain human.

We define the relevant metrics with you before deployment.

We precisely define what data is necessary, which people and systems are authorised to access it, and for how long it is stored. The security architecture is then tailored to the sensitivity of your project.

Not automatically. Data processing depends on the selected tools and models. We prioritise configurations that limit data retention and reuse, and we clearly document the choices made.

We design each solution by integrating the principles of data protection, transparency, minimisation, and human oversight. The specific obligations are assessed based on the project, the data used, and the role of each party.

We start by scoping the requirement and can move forward with an initial, limited pilot. The timeline then depends on the process complexity, necessary integrations, and the required level of security.