Process and data map
We identify flows, information sources, decision points and bottlenecks.
Servei · 06
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
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
We define what creates value before choosing the right piece: agent, automation, dashboard, integration or software.
We identify flows, information sources, decision points and bottlenecks.
We tell you whether it's worth applying AI, automation, BI, integration or custom software, and why.
Frequently asked questions
If you have a question you don't see here, write to us and we'll reply as soon as possible.
No. If automation, a dashboard or an integration solves the problem better, we propose that.
We start with diagnosis, limited use cases, clear permissions and human validation when needed.
Next step
We run a prior diagnosis and tell you what type of solution makes sense.