AI IN EDUCATION // MEXICO

Your teachers already know how to teach.
We help them do it with AI.

We're an AI-in-education consultancy in Mexico. We train faculty, redesign assessments, and write AI policy. It all starts in the class, not the tool.

Having ChatGPT open isn't knowing how to teach with it. Nine in ten teachers already use AI. Three in ten know what to do with what it gives back.

Raphael, The School of Athens: philosophers and students gathered in a great hall of learning

FIG. 01 · ONE TEACHER, ONE WEEKEND

A high-school teacher in Puebla tried four AI tools over one weekend. Three asked for a credit card the minute the trial ended. The fourth locked her out after ten messages. Monday came anyway: 38 essays to grade, almost no time, and more than half written with AI by her own students, with no way to tell which.

She didn't need a fifth app, or a back-and-forth where one AI grades what another AI wrote. She needed a task built around what her students actually need to learn, one AI can't do for them. That's where we start.

We start with what her students need to learn.

Engraving of a scholar at work in a quiet study
Faculty training//Assessment redesign//Tool triage//AI policy// Faculty training//Assessment redesign//Tool triage//AI policy//
Pedagogy first·Evidence over novelty/\People over technology/\ Pedagogy first·Evidence over novelty/\People over technology/\
FIG. 02 · WHAT WE FIX

The class comes first.

AI didn't make grading easier. It made the old assignment pointless. So we don't sell magic. We fix what's actually broken.

For your faculty

Three tools, not fortyWe test the sprawl so you don't, then hand you the few that still work after the trial ends and that a teacher in Oaxaca can actually open.
The hours, paid forwardAI can give back hours every week. Getting there costs time you don't have. We spend it for you.
Assignments worth doingWe rebuild one task so the thinking is the part AI can't turn in. No detector roulette.

For your institution

Pedagogy before purchaseWe start from the class question and pick the tool that actually answers it. AI pays off when the lesson design puts it to work, and that design is what we bring.
Training, not 11 p.m. trial-and-errorIn each teacher's subject, with their own materials. Nine in ten use AI; almost none were ever trained.
A policy people followPlain language, written from your real cases. Fewer than one in ten schools has any guidance at all.
FIG. 03 · WHAT WE DO

The work.

#1

Train

In your subject, with your own materials. The hard part, teaching, you already do.

#2

Redesign

We rebuild one real assignment so AI becomes the rough draft students take apart, not the thing they hand in.

#3

Equip

We test the tool sprawl and give you the few that survive the free trial and run on a teacher's phone.

#4

Govern

A plain-language AI policy your faculty actually wrote, from real cases.

FIG. 04 · WHAT WE BELIEVE

We don't add AI.
We back the teacher.

Buying AI doesn't change a class. The teacher already knows what this room needs; our job is to carry that knowledge further and let a tool in only where it adds. AI can write the draft. It can't watch a student go quiet and know why. That's the part we back.

FIG. 05 · HOW WE WORK

Sit in. Train. Redesign. Govern.

[01]

Sit in

We watch a real class and audit what's used, what's wasted, and where the thinking leaks out.

[02]

Train

Faculty cohorts in their own subject. We bring the tested tools. You bring the pedagogy.

[03]

Redesign

One assignment per course, rebuilt so AI can't do it for them, shipped into the real term.

[04]

Govern

A policy your faculty wrote, plain enough to follow, ready for the board.

FIG. 06 · THE PEOPLE

The people behind AcademIAS.

Gabriela González DomínguezGabriela González DomínguezDirectorMaster's in language teaching. Built student-success systems for thousands of learners.
Hesus García CobosHesus García CobosChief Learning OfficerMaster's in pedagogy. Designs AI courses and curricula, and researches AI-in-education policy.
Sergio Cruz GómezTechnical LeadPhD in computer science (computer vision). Teaches AI and machine learning at university.

Educators first. Engineers too.

START HERE

Show us what's breaking in your classroom.

Tell us what your hardest Monday looks like. In twenty minutes we'll name the first thing worth fixing, tool or not.

We help with AI curriculum, faculty training, LMS integration, websites, and AI apps. But we start with people and the problem: tell us what hurts.

Not ready yet? Free webinar, the 22nd of every month →

Empecemos//Let's begin//Empecemos//Let's begin// Empecemos//Let's begin//Empecemos//Let's begin//