Training · Ground school
Learn.
Your people practise AI on their own work and learn how to check the result.
- Leaders and managers3–4 h
- Professional teams8–12 h
- Automation and assistants12–16 h
- Technical teams16–24 h
- Train the trainer8–12 h
AI consulting boutique · Barcelona · Since 2018
Most AI pilots never take off. Ours fly.
A small, senior AI team. We train your people, choose the bets worth making and build the tools that stay in use.
Partners ofAnthropicOpenAI
We work with teams in
- Banking
- Energy
- Professional services
- Infrastructure
- Defence and security
- Public administration
- Education
01 The problem
Why AI pilots end up circling.
Different sectors, same four reasons. Each one adds another lap.
- 01Built to impress the committee.
A demo that wins the meeting and has no user on Monday.
- 02Licences nobody opens.
Seats for everyone, real use by a few.
- 03Training forgotten by Tuesday.
Two hours of slides, no practice on real work.
- 04No owner once the consultants leave.
Nobody inside can run it, fix it or improve it.
We fix all four. That is the whole job.
Months holding14
Budget burned
In daily useNo
02 Services
Three ways we get you airborne.
Start with one. Add the next when the first one pays off. Most clients begin with training or a focused decision.
Consulting · Flight plan
Decide.
Know where AI pays off before you spend: options compared, costs counted, success defined.
- Use cases ranked by value and effortMap
- Tools, data, permissions, costsRoadmap
- Quality, time, cost and riskTest criteria
- Review of the AI you already useAudit
Projects · Take-off
Build.
From a focused pilot to a tool your team uses every day, measured against how the work runs today.
- Internal assistantsPrototype
- Document search with sourcesTest
- Supervised automationIntegrate
- Documentation and handoverAgreed
03 Method
From pre-flight to hand-over.
Three phases, each one closed with something that works and a clear decision: continue, adapt or stop.
01 · Pre-flight check
Understand.
Your business, your people and one task worth improving. We look at how the work really runs.
02 · Test flight
Prove it.
Agree what success means. Compare a focused pilot with today's process, in quality, time and cost.
03 · Hand over the controls
Transfer.
Tools, knowledge and ownership move to your team. If one day you stop needing us, we did it right.
04 Partners
Partners of both labs. Tied to neither.
We are partners of Anthropic and OpenAI. You get depth on the two leading platforms, from a team with no reason to sell you one over the other.
AnthropicPartner
OpenAIPartner
Depth
Two platforms, known in detail.
Models, APIs, enterprise plans, security settings and limits. What each one does well, and what it costs.
Choice
Chosen by test, not by contract.
We compare options on your own tasks for quality, cost and risk. Sometimes the answer is a smaller model, or no AI at all.
Freedom
Built so you can switch.
Your data, prompts and evaluations stay yours. When a better model ships, changing it is a decision, not a project.
05 Uncomfortable truths
Six things people believe about AI at work.
Open a card to see what we find in practice. How many does your team still believe?
0of 6
cleared
cleared
06 The team
Small team. Senior hands.
The people who scope your project are the people who do it. No hand-offs to juniors.
Teaching
We teach AI for a living.
Programme design, mentoring and hands-on learning, the way we have done it since 2018.
Product engineering
We build what we recommend.
Assistants, document systems and AI platforms, integrated with the tools you already use.
Evaluation and governance
We check before we ship.
AI evaluation, safety and responsible adoption, with human review where it matters.
Why “Saturdays”?
Because we teach AI the way people learn on a Saturday: hands-on, on a real problem, with someone next to you. We bring that into companies on weekdays.
07 Next step
Ready to board?
Tell us where you want to go. One sentence is enough. Lidia reads every message and will get back to you.