Methodology
How we work
We start by listening. The answers about AI are already inside your organization, spread across many people.
Ana Jiménez Castellanos and Nacho Ormeño
Scroll down and watch how it's built.
We use Google Analytics to see which pages get read and improve the site. It sets Google cookies and stays off until you accept. Change your choice any time under "Cookie settings" in the footer.
Cookie policyMethodology
We start by listening. The answers about AI are already inside your organization, spread across many people.
Ana Jiménez Castellanos and Nacho Ormeño
Scroll down and watch how it's built.
The result isn't an AI strategy. It's a capability to lead.
In 90 days
The organization stops asking “what can we do with AI?” and starts deciding “where does it create value?”
We talk to leadership, to the teams and to the people who do the work every day. That's where what really matters shows up.

In those conversations, people emerge who know the business and drive change. With them we keep listening, now from the inside, and the organization learns to decide with AI on real cases.

They don't arrive from outside in a report. We design them with leadership, based on what we've heard: where AI adds value, who decides what, and what can't be put at risk.

We organize it into semantic and context layers so people and agents work on the same thing. And we set up processes and ways of working that didn't exist before.
Knowledge doesn't all change at the same pace: what the company is changes over decades; what it knows, over months; its tools, over weeks. That's why we organize it in layers, so changing one doesn't force you to rebuild the others.

We help orchestrate the organization so that what's decided gets done, measured and corrected. And if something isn't working, we say it's time to stop.

At the end we run an autonomy test: can you make decisions on AI without calling us? If not, we still have work to do.