We transform data and technology into stories of success

An AI consultant doesn't just deliver technology: he designs intelligent solutions aligned with your strategic objectives. Its value lies in translating business challenges into effective automation. If you already have a technical team, our AI consultancy acts as a catalyst: we identify where to apply AI, we help to prioritize and we accompany technical integration with a business approach.

That depends on the project and its scope, but by design our methodology seeks to apply high-impact and rapidly implemented initiatives first. In many cases, you could start to see improvements in operational efficiency, reduced manual tasks, or fewer errors within weeks. Then, the improvement continues in an evolutionary way with adjustments and new phases.

There is no standard figure, because each project is different: it varies depending on the level of automation, the volume of data, the complexity of the integrations, etc. What we guarantee is that our proposals are designed with ROI in mind. Each initiative we propose will have an estimated benefit (hours saved, costs avoided). And we only move forward if the project is viable and profitable.

A central piece of our methodology is the prior analysis of infrastructure. We design our solutions as compatible modules and evaluate the necessary integrations with your technological stack. We don't “impose” external platforms if we don't have to. This way we ensure that automation systems fit seamlessly into your daily operation.

During deployment, we validate operation in controlled environments and scale progressively. In addition, we offer ongoing maintenance, monitoring and adjustments. Our work doesn't end with delivery: as AI consultants, we assume responsibility for continuous improvement, anomaly detection and optimization.

We implement security standards by design: encryption, controlled access, auditing, anonymization of sensitive data if necessary. In addition, we comply with current regulations (for example, GDPR in Europe). At all times, we maintain transparency about how data is used and we ensure that you are in control.

Yes. Scalability is one of the pillars we considered from the start. We don't design static automation: our solutions are designed to adapt to new loads, new processes and new phases of growth without having to redo everything.

Many medium-sized companies and established startups have an ideal starting point: they already manage data, have repetitive tasks and a vision of growth. For these companies, AI consulting makes it possible to multiply their effectiveness without requiring large investments in new infrastructure. The important thing is that there is a willingness to change, access to data and internal support.

We define clear KPIs from the start, linked to your strategic objectives: reduction of manual hours, avoided cost, precision of decisions, improvement of service, etc. We carry out regular monitoring and create reports that show the real impact of the project. If there are no improvements, we review, adjust and refine.

Especially when using generative models, there is a risk of “hallucinations” (wrong answers) or biases. That's why we design with human supervision, output validation, usage limits and periodic auditing. AI isn't a substitute for human judgment: it empowers it.

Absolutely. We also work with feasible minimum pilots or steps: small automations to test and demonstrate value before scaling. This phase can serve as a proof of concept and build internal trust before moving forward with a larger implementation.

Our proposal is to integrate you as technical and strategic partners. We have real experience (various sectors) and high-level technical knowledge. What sets us apart is that we don't implement AI to implement: we propose only what makes sense from a business perspective. In addition, we provide ongoing support and work with your tools.

Yes. Although it's easier when there is some level of digitalization, we can start with a diagnosis and accompany you in digital maturation (data management, culture, governance). AI consulting doesn't require starting from perfection: it is built progressively.