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Servei · 06

Understand before you build.

Before developing any solution, we study how the company works, what data it uses and where inefficiencies appear. We only recommend AI, automation, a dashboard or an integration when it makes sense for the process.

The problem

Applying AI without diagnosis creates noise

AI can create a lot of value, but not every process needs it. First we need to understand data, decisions, people and systems.

Processes where it is unclear whether AI, RPA, BI or custom software is needed.

Information spread across documents, emails, ERP, Excel and internal applications.

Our answer

Diagnosis before building

We define what creates value before choosing the right piece: agent, automation, dashboard, integration or software.

Process and data map

We identify flows, information sources, decision points and bottlenecks.

Solution recommendation

We tell you whether it's worth applying AI, automation, BI, integration or custom software, and why.

Frequently asked questions

What people ask us about diagnosis

If you have a question you don't see here, write to us and we'll reply as soon as possible.

Do you always recommend AI?

No. If automation, a dashboard or an integration solves the problem better, we propose that.

How do you avoid risks?

We start with diagnosis, limited use cases, clear permissions and human validation when needed.

Next step

Want to know if AI fits your process?

We run a prior diagnosis and tell you what type of solution makes sense.