AI isn't a project. It's a decision.
A decision someone on your team is making badly today, too late, or not at all because they can't. What decision in your operation is being made blind? That's the only question that matters.
We'll tell you which part of your operation truly benefits — and which part of what you're being sold is smoke. Free, in half an hour.
Three signs you're about to buy AI for the wrong reasons
The project's goal is to "use AI", not to solve something concrete.
You've seen three impressive demos and none of them touch your real operation.
Nobody at your company can say which decision would improve, or what improving it is worth.
The chatbot isn't the project. It almost never is.
When a company asks us for AI, we do what we do for any project: look at the process. And we look for one very specific point — the moment someone decides something with less information than they need. An editor choosing what to translate. A rep calculating what to offer. A chemist checking whether a formula complies.
AI belongs wherever there's a decision, not wherever there's a screen.
That's why we don't sell "an AI agent". We sell making that decision get made with evidence — and sometimes the right answer is that your case doesn't need a model, just two systems connected that currently don't talk. When that's the case, we say so.
Three decisions now made with data
None of these started as "an AI project". All three started with a decision that hurt.
Choosing what to translate out of everything published worldwide
Continuous tracking of international catalogs and real reader sentiment, book-topic semantic search and social trend detection, across ~11,500 titles. They now see which topics matter in Spain and where the gap is, with numbers.
Knowing the case's complexity before picking up the phone
Before the call, a model classifies the admission photos, estimates treatment complexity, and recommends the package. The call shifts from blind discovery to confident recommendation. AI doesn't replace the rep: it removes the part of the job they were doing blind.
Formulating with regulation built into the model
A model trained on their specifications and the Mexican regulatory framework, so the lab can generate and check formulas without looking up the standard every time. Not a generic assistant: it knows what its market requires.
Four questions before we take your money
If any of these fail, the project isn't an AI project yet — and we'll say so on the first call. Most die on the third.
Is there a concrete decision?
Identifiable, repeated, and with an owner. "Improve efficiency" isn't a decision.
Does the data exist?
If the process lives on paper, in WhatsApp, or in three people's heads, it has to be captured first. That's a different project — and it costs less.
What's getting it right worth?
If nobody knows what a mistake costs today, the improvement can't be measured. And without a measure, the project dies within six months.
Will anyone actually use it?
A model your team avoids is as useless as an ERP your team avoids. Adoption has to be designed.
Let's talk about money before the call
Almost nobody in this industry publishes prices. We'd rather you know where they start before you give us your email.
Two weeks inside your operation. We come out with the map and an honest verdict.
- The map of your real process — the one people actually run, not the org chart
- Where it breaks and what each break costs you, with numbers
- Verdict: custom, off-the-shelf, or nothing yet
- A fixed quote for the next step, if there is one
If the verdict is "buy off-the-shelf", it ends here — and we'll tell you which one.
Start hereWe build the system your operation needs and that doesn't exist on the market.
- KPIs signed off before we start — if a phase doesn't move the needle, we don't charge for it
- Weekly demos — you watch the system grow, not a quarterly report
- Built on what you already have — we keep what works, build what's missing
- Documentation and handover — when we leave, the system is yours
The diagnostic gets deducted from the project if we continue.
Talk about mineThe system evolves with your business instead of aging alongside it.
- Continuous improvement — new automations on top of what's built
- The system keeps pace with the business — when the process changes, so does the software
- Priority support with the founders, not a ticket queue
- No lock-in — if a month isn't worth it, cancel, that's it
Only for systems we built or audited ourselves.
See if it fitsTell us which decision is being made blind
In half an hour we'll tell you if your case is an AI case, a systems-integration case, or not a case yet at all. No cost, no sales pitch.
