Process and data map
We identify flows, information sources, decision points and bottlenecks.
Servei · 02
Before developing any solution, we study how the company works, what data it uses and where inefficiencies appear. We only recommend AI when it makes sense; if automation, a dashboard or an integration solves the problem better, we propose that.
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.
Tasks combining interpretation, decision and action across several systems.
Risk of deploying new tools without solving the real friction.
Our answer
We define what creates value and then build the right piece: agent, automation, dashboard, integration or software.
We identify flows, information sources, decision points and bottlenecks.
We design agents that query data, interpret information and execute actions when the process justifies it.
We combine Power Automate, RPA, integrations and BI when they solve the problem better than a purely AI solution.
Frequently asked questions
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No. If automation, a dashboard or an integration solves the problem better, we propose that.
A component that can interpret information, query data and execute actions within a specific process with rules and control.
We start with diagnosis, limited use cases, clear permissions and human validation when needed.
Yes. Often the agent interprets or decides and Power Automate executes the business flow.
Next step
We run a prior diagnosis and tell you what type of solution makes sense.