I watch how you work. I find what's not needed. I take it off your plate.

I'm Luis Téllez and I help businesses do more with less. I see where your time and money go, and I fix it: with process automation, data, artificial intelligence or, sometimes, by removing a step nobody needed.

Tell me about your case See what I can take off

I watch how you work.

I sit with the people doing the work. I watch what they do, listen to what drives them mad and follow an order, an invoice or a complaint from start to finish. What really happens rarely matches the org chart, and that's where the time goes.

I find what's not needed.

You don't need to fix everything. In almost any business, a handful of things take up most of the time and money. That's the Pareto principle, and it's how I work: find that 20% and start there.

20% of what you do

The other 80%

Takes 80% of the time and money

The remaining 20%

I take it off your plate.

This is where it stops being a report. I look for the right tool for you, not the fashionable one, and I leave it working. Tick what sounds familiar and send it to me: I'll tell you where I'd start.

Save time

Invoices are typed in by hand.They're read, checked and entered automatically. A person reviews only the doubtful ones. The monthly report takes days.It builds itself from up-to-date data and arrives when you need it. You answer the same questions again and again.An assistant answers from your own documents and passes on what it isn't sure about. Everything depends on one person.What's in their head becomes a documented process that works while they're on holiday.

Earn more

You don't know which campaigns bring customers.I connect ads, website and sales to show which channel makes money. You don't know which products leave a margin.I join sales, costs and time spent into a single view. You buy by feel and stock runs out or piles up.Demand forecasts from your own history, measured before you rely on them. You want to use AI and don't know where to start.I'll tell you where it's worth it and where it isn't. Then we start with the first.

Yours isn't on the list? Even better. The most interesting problems never are.

This used to be called consulting. That's no longer enough.

A consultant looked at your business, left you a report and walked away. Then you had to find someone to do the work, and by then the report was out of date.

AI has changed that. One person can now build in weeks what used to take a team many months. So I don't stop at the slide deck: whoever finds the problem is the one who fixes it.

We live in the golden age of optimisation. There's no excuse for not doing things, let alone for not doing them well.

I've spent years training models. I know when they work and when they don't.

AI isn't a chatbot you plug into a business. I use it where it really removes work: for example, recognising the fields on every invoice and automating its bookkeeping.

Reading documents

Recognising the fields on invoices and other documents, even when no two look alike.

Forecasting demand

Models trained on your own history to anticipate sales, orders or stock, measured before you rely on them.

Training what doesn't exist

When no off-the-shelf model solves your problem, I train one on your data.

I'm not a specialist. On purpose.

When all you have is a hammer, everything looks like a nail. So I've spent years learning across many fields: mathematics, programming, data, energy, accounting, marketing.

I'm not the leading expert in any of them. But knowing them lets me connect things that look unrelated, and that's usually where the best solutions are.

If I can't help you, I'll find someone who can.

Your problem may not be my field, or I may not have the time it deserves right now. Then I act as a bridge: I find the right person or company and put you in touch.

Four places I've already pulled the thread.

No names, for confidentiality. Full case studies are in Spanish.

Invoices that read and book themselves

Administration and accounting, in collaboration

The knot: Invoices from many suppliers, each in its own format, read, typed in and booked by hand.
What I did: AI that recognises the fields on every invoice and automates its bookkeeping.
Where it stands: In use.

Marketing and e-commerce data

Marketing agency, in collaboration

The knot: Campaign, sales and analytics data spread across platforms and rebuilt by hand for every report.
What I did: Processes that collect, normalise and validate each client's data in one structure.
Where it stands: Evolving.

Information from many entities, in one place

National institution, in collaboration

The knot: Information in different formats, gathered, checked and consolidated by hand every year.
What I did: Structured collection, validation rules, consolidation and Excel export.
Where it stands: In development, rolling out in phases.

Wind and solar forecasting

Energy sector, professional experience

The knot: Predicting plant output from weather forecasts and imperfect historical data.
What I did: Data processing, model training, validation and APIs to deliver forecasts.
Where it stands: Three to four years of work, now finished.

Tell me what's eating your time.

One message is enough. You don't need to know about technology or bring a solution. The form is in Spanish, but feel free to write in English.

Tell me about your case Message me on LinkedIn

I read it and I reply myself.
If I can help, I'll tell you how.
If I can't, I'll find someone who can.
Nobody will call to sell you anything.