AI consulting · For companies in Argentina and Latin America
Everyone with their own ChatGPT, no rules, nobody measuring anything. We go in, measure where time and money are lost, and build AI where it pays. What shouldn't be touched, we tell you in writing.
Free. If we don't see anything worth doing, we tell you on the first call.
3-minute diagnostic
Fourteen questions about your operation, no sign-up. At the end you see a number: how many hours a month go into manual work, what that's worth a year, and where to start.
Start here: what industry is your company in?
The hours are what can be measured in three minutes. What can't —which clients are about to leave, where your margin is leaking, what you'll need next month— we look at with your data in front of us. That starts with a conversation, not a form.
Tell us what data you have and we'll say if it's enoughWhat we do
That's why there are three services, not one. The first tells you which one you need.
Before automating, look.
We measure where your operation loses time, productivity and money, and along the way how AI is being used today and with what risks. You leave with one page: three things we'd do, one we wouldn't, and what each is worth.
See the diagnosticThe AI they already use, in order.
A clear use policy (what data never gets uploaded, which tools are approved), tools chosen for each area, training on your team's real cases and a usage metric from week one. It's not a course: it's making the AI that already came in work for the company, not for each person.
See adoptionWhere it pays, we build.
AI systems that do the heavy lifting of one concrete process: reading tender documents, answering and taking orders on WhatsApp, watching prices, collecting. From prototype to production in weeks, integrated with what you already use.
See buildHow we work
We understand how your company works today and build the bridge so AI does the heavy lifting, with your team inside.
01 Weeks 1–2
We talk for 45 minutes. Then we sit down with the people who do the work. You leave with the prioritized page.
02 Weeks 3–6
One thing, small, with real data. We measure before and after. No slide decks.
03 Weeks 7–10
What worked goes to production and the team takes ownership: training on their cases, use policy, a visible metric.
04 Weeks 11+
What's next. New processes, new areas. AI stops being a project.
Every stage can be the last one: at each step you decide whether we continue. We give the numbers in the first conversation.
Results
Three systems in production, with names.
Engineering and public tenders · INTED
From three days to a few hours.
−85% · reading time per tender, first three months
Reads tender documents and pulls deadlines, requirements, amounts and guarantees into a spreadsheet, with a link to the source paragraph.
How it was measured Hours per tender before and after, over the first forty tenders.
Paper and supplies distribution · Market Paper
Prices get reviewed every day.
1,200 · products compared against competitors per day
Watches competitor prices every day and flags when it's worth moving yours.
How it was measured Products covered and alerts per week, over the first two months.
Wholesale e-commerce · e-commerce, name with permission
The wholesale flow runs on its own.
−70% · loading time per wholesale order, first quarter
Answers and takes orders on WhatsApp, loads them into the system and flags when a person needs to step in.
How it was measured Minutes per order before and after, over the first quarter's orders.
House rule: if a number can't be defended with a period and a method, the card goes without a number and with the fact. A number without a method is worse than no number.
What we know how to build
Forty systems, ordered by what sells most. Three are already running somewhere; here are the ten that sell on a single conversation.
Sales and customers In production
Answers, quotes, loads the order into the system and flags when a person is needed. The most common pain, and the easiest to quantify.
Integrates with WhatsApp, your price list and the system where orders are loaded.
See the caseSales and customers
Takes the order and the price list and builds the quote, ready to review and send. Replaces copy-pasting from old templates.
Integrates with Your price list, email and the management system.
Sales and customers
The one who asked and didn't buy, the one who hasn't come back in six months. With judgement, not spam. New revenue with no acquisition cost.
Integrates with WhatsApp, email and your customer base.
Sales and customers
Confirms, reminds, reschedules. Cuts no-shows in healthcare, workshops and home services.
Integrates with WhatsApp, your calendar and the bank statement.
Administration
Reminders before the due date, follow-up after, escalation to a person when it's warranted. Pays for itself by speeding collection up a few days.
Administration
Pulls the data out and loads it into the system. The most universal document-extraction case: every company with a back office has it.
Administration
Pulls data from several sources, builds the periodic report and flags when a metric drifts. Gives administration a day back every week.
Operations
Sorts, routes to the right team and answers the simple ones. Attacks the overflowing inbox, the symptom everyone recognises.
Operations
Answers the team's questions about policies, processes, products and customers. Removes the dependence on “the two people who know”.
Operations
Summary, decisions and tasks with an owner. Cheap to build and adopted immediately: the team notices on day one.
Which one comes first is decided in the diagnostic, not in the sale.
See all forty, by areaWho we are
Inside your company, with the people who do the work. What we build stays in your accounts and documented, made so you can carry on without us.
We work with companies in Argentina and Latin America.
one line: engineer, builds the systems, works inside the clients' operations
Mariano's LinkedIn
one line: what she does
Guillermina's LinkedIn
Free resource
Download the AI Use Policy template and define in one afternoon what data never gets uploaded and which tools are approved.
One page, in Spanish, adapted to Argentina's data protection law (Ley 25.326). Asks for an email. TODO: decide whether an English, country-neutral version exists
Questions
It's a good start, and we'll tell you so. What it doesn't do on its own is integrate with your systems, follow data rules or keep working when nobody is watching.
Because we don't know what you need yet, and neither do you. That's why the first stage is measuring, not selling.
It depends on what has to be built and how many areas are involved. We say it with numbers in the first conversation, before you ask, and what it doesn't include too: the tools (WhatsApp API, models, hosting, licenses) are contracted in your name and paid by you, with no margin for us.
We tell you on the first call, or at the end of the pilot, in writing. We charge for the work of measuring, not for a promised result.
No. We build alongside it, integrated through APIs, without touching what runs. What shouldn't be touched goes in writing in the deliverable.
They can, and in several cases they do it with us. What we bring is judgment about where AI pays and experience with models. We work with your team, not against it.
Whatever the problem calls for. We don't sell licenses and we don't have a stack to push. Everything stays in your accounts and your repository.
Everything stays in your accounts and documented. It's designed so you can keep going without us.
Let's talk
Tell us what's going on and we'll tell you frankly whether we can help, and how.
