From a first conversation to a system your team runs.

Four stages, each with its deliverable

1. 01 Weeks 1–3

   Understand

   We sit with the people who do the work: systems, exceptions, owners and the metric that matters.

   Steps

   • Choose a recurring piece of work that gets stuck today, and its owner.
   • Walk through it with the people who do it: systems, exceptions and the reason behind each practice.
   • Measure the starting point with the metric the business cares about.
   • List tools, data and licences, without migrating anything.

   Delivers

   A process map, a starting metric and a written scope.

   The next stage starts when

   there is a repeated problem, accessible sources and an owner who can decide.

2. 02 Weeks 4–8

   Get ready

   We connect sources, set authority and turn the team's judgement into context AI can use.

   Steps

   • For each piece, the simplest option: use, configure, connect or build.
   • Choose the AI tools: yours, or the best one for the case, with its reason.
   • Put data and sources in order, and write the team’s criteria down as context.
   • Define what it reads, what it proposes, what it does and what waits for a person’s signature.

   Delivers

   A prepared environment, permissions and explicit criteria.

   The next stage starts when

   a bounded improvement works on the process’s own data.

3. 03 Weeks 8–12

   First process in production

   The system works end to end with bounded effects, review and a record of every step. Your team runs it.

   Steps

   • Put the first process into production with bounded effects.
   • A person reviews where there are consequences, and every action leaves a record.
   • Measure against the starting point: time, errors, rework and interventions.
   • Agree with the team that runs it that the process is accepted.

   Delivers

   A process running, operated by your team.

   The next stage starts when

   results are measured and the team uses it.

4. 04 Afterwards

   Improve and extend

   Every new process starts from the previous foundation and arrives sooner.

   Steps

   • Review what was built when models and tools change, and remove what gets in the way.
   • Turn what was learned into reusable criteria.
   • Take the next process onto the same foundation.
   • Transfer or maintain the capability, as agreed.

   Delivers

   Every new process arrives sooner.

   The next stage starts when

   the result justifies extending.

With your tools, on open standards

We start from the AI and work tools you already use. If a better option exists for a case, we propose it and explain why. Your team keeps working where it works today, with no migrations and no new applications to learn, and when a better model or tool arrives it changes above without rebuilding what lies beneath.

For each case, the simplest option that works

1. UseWhat you already have and already pay for.
2. ConfigureThose same tools, better tuned.
3. ConnectTools and data that work apart today.
4. BuildOnly what is missing and adds value.

Wait. Sometimes the sensible choice is to wait: what a vendor is about to solve is not built twice.

What usually holds a company back

There are AI licences and day-to-day work is the same.

We start with one concrete process and leave it running.

Pilots stay pilots.

Every stage ends with something in production and a criterion to continue.

It is unclear where to start or which tool to choose.

We start from what you already have and propose the simplest option that works.

The operation cannot stop or migrate systems.

We work on your systems, without migrations.

There is a worry that AI will do something it should not.

It does only what it is allowed to, and what matters waits for a person’s signature.

In short

Purpose

AI doing work inside your company: first in one process that gets stuck today, then in the next ones.

Scope

Your tools, your data and your team, where they already work. No migrations and no new applications to learn.

Safeguards

AI does only what it is allowed to, what matters waits for a person’s signature and every action leaves a record.

Durability

On open standards: when a better AI arrives, it changes above and what was built is kept.

Where

From Madrid, with companies across Spain, in Spanish or English.

Terms

Scope, timing and commercial terms are agreed for each engagement.