Your company adopted AI.
Does it operate it?

84% of companies that adopted AI saw gains. Only 16% integrated it into how they actually work.
We are the firm for the other 84%.

Being forced to put AI into production without a clue? Or it's already live and keeps falling over? That's what we're for: we stabilize your production.

Book a Diagnostic Read why adoption stalls →

● YOUR AI IN PRODUCTION: SOLID, OBSERVABLE, NO SURPRISES · ENGLISH OR SPANISH

Our SaaS · In Production

Ancuria, the real-estate platform we build and operate.

We don't just talk about production: we operate our own SaaS (bilingual ES/EN, live payments, continuous deployment) under the same rules we install with our clients. Read the full case →

Ancuria, bilingual (ES/EN) real-estate platform with live payments

Visit ancuria.com ↗

The Problem // The Plateau

Adoption already happened. Integration did not.

Field readings · AI in Mexico · 2026

500K
Mexican companies adopted AI
in roughly one year. The wave is not coming: it already happened.
84%
saw gains… and are stuck on the plateau
they bolted a chatbot onto the same processes they had before and called it transformation.
35%
officially provide AI tools to staff
the rest runs as shadow AI: no governance, no visibility, your data on the line.
← sanctionedshadow AI →
The 16% infographic: 500K Mexican companies adopted AI, 84% reported productivity gains, only 35% officially provide tools; the proficiency curve shows 84% on the plateau and the 16% who redesign the work.
AI in Mexico · Field readings · 2026 · read the full analysis →

If you are in the 84%, you do not need another pilot. You need answers.

  1. What AI is actually running in my company, sanctioned or not, and what is it touching?

    Most companies can name two or three tools and miss a dozen. A real inventory surfaces every model, agent and integration in use (sanctioned or shadow) and maps what data each one touches. You cannot govern what you have not found.

  2. What is it returning, measured in money and hours, not in vibes?

    Productivity gains reported in surveys are not ROI. We instrument the workflows AI touches and measure cycle time, error rate and cost per task against a real baseline, so the number you take to your board survives scrutiny.

  3. What rules govern it, and are they enforced in the systems themselves, or just written in a PDF nobody reads?

    Most AI policy lives in a PDF and stops at the door. Enforced governance means the rules run as code in the path of execution: access controls, data boundaries and audit trails that hold whether or not anyone remembers the policy.

  4. When it fails (and it will fail), who sees it first: my team or my customer?

    If your customer is your alerting system, you do not have observability. Agentic systems fail quietly: drift, degraded output, silent retries. Instrument for that specifically, with thresholds and on-call ownership, and failures surface internally first.

  5. Where does my data physically live, and who else can reach it?

    Data sovereignty is a buying criterion in Mexico, not a checkbox. Know which region each provider processes and retains in, what subprocessors sit behind them, and what your contract actually permits, before it becomes a procurement problem.

Data sovereignty is not a compliance checkbox. It is a buying criterion, and most consultants selling AI have no answer for it.

Services // The Day 2 Ladder

From adoption to production.

Your team already built with AI. We get it to production and keep it solid. On the stack you already use, not one more license.

01

DiagnosticSTART HERE

Tell us on WhatsApp where your AI operation is stuck. We tell you what to look at first and whether we can help. No cost, no commitment.

02

Production Audit

Your AI about to launch, or already live. About to launch: what will break, found before it breaks. Already live: observability, failure modes and weak points, plus what it returns, measured in money and hours, not vibes. What the audit includes →

03

Deployment Guardrails

A production deploy process your engineers can't break: gated reviews, protected main, one-step rollback. Human error stays in staging. And when something fails, your team sees it first, not your customer. How it gets implemented →

04

Turbo Rig · Turbo Flow

Enablement for engineering teams: agentic dev environments, automation rigs: installed, configured, and with your team trained. Stop fighting your stack. Enablement in detail →

//

For engineers · Environments Call $150 USD

1:1 review of your agentic environment: Claude Code, Turbo Flow, verification and quality gates. Straight to the calendar.

How We Run Ourselves

We don't sell guardrails we don't use.

Our own engineering rig runs on these rules every day. What we install with you is what already holds us up.

>_ REVIEW

Fail-closed

Every change goes through a gated review that can reject it. If the reviewer doesn't approve, there is no merge. The process fails closed, not open.

>_ MAIN

Protected

Nobody (not even the founders) pushes directly or force-pushes to main. Agents even less: they work in isolated branches, like any engineer.

>_ MERGE

Humans only

We automate everything except the decision to touch production. That one is always signed by a person.

Who We Help

Three seats at the same table.

>_ CTO / LEADERSHIP

CTOs & Directors

You adopted. The licenses get paid. And the results flatlined on the plateau. We bring governance, ROI metrics and reliability to move from "we have AI" to "AI runs the business."

>_ ENGINEERING

Engineers

Production-grade agentic environments: Turbo Rig, Turbo Flow, and deploy processes you can't break from your laptop. Fewer demos, more shipping to production.

>_ FOUNDERS

Founders

Design the operation with AI integrated from day one, not bolted on later. The compounding advantage goes to whoever integrates first.

Team

Operators, not license resellers.

Creando Tu Matrix was born from the professional and personal union of two complementary worlds: technology and business management.

Marcus Patman
CO-FOUNDER · CTO

Marcus Patman

20+ years in infrastructure and production operations. Creator of Turbo Flow, an open-source agentic development environment, and technical reviewer of 6 published books. Builds multi-agent systems with SRE discipline: if it is not observable, it is not in production.

Marce García
CO-FOUNDER · CEO · COMMERCIAL LEAD · MEXICO

Marce García

Mexican, with deep roots in law, sales and real estate. She brings the commercial instinct, local relationships and cultural fluency that turn cutting-edge technical expertise into something organizations in Mexico can access and execute.

We both share the conviction that today, more than ever, businesses, regardless of size or stage, need tools that let them automate, integrate and simplify their processes. That's how we decided to join forces and build a project that transforms the way companies operate and make decisions. Creando Tu Matrix delivers AI-driven systems development and integration for businesses in Mexico and anywhere in the world.

"Our mission is clear: make technology work for you, driving efficiency, productivity and sustained growth."
— Marcus and Marce, Founders of Creando Tu Matrix

Affiliates

LAB

CreandoTuMatrix Labs

Open-source governance, observability and agentic-verification tooling: ShipReady, Observatory, Policy-as-Code and the rest of the Day 2 stack.

LAB

Adventure Wave Labs

The wider ecosystem behind Turbo Flow: agentic environments, technical exploration and open-source projects that are siblings to Creando Tu Matrix.

Proud member of the Claude Partner Network Proud member of the Agentics Foundation

Results

"I built tf-verify with 220 quality gates to prove the whole stack is wired end-to-end. My latest Turbo Flow project turned into selling a website for a very lucrative sum."
Jan Lafko · Independent developer, Europe

Frequently Asked Questions

Before you book the Diagnostic.

How do I automate my business with AI?

Start with processes you already measure: support, client follow-up, quotes, reporting. An AI agent deploys with guardrails (what it may and may not do), observability (what it did and why), and a human approving anything irreversible. That is how automation cuts hours and errors without putting operations at risk.

What is digital transformation with AI and automation?

Redesigning business processes so people and AI agents work together, not just buying tools. Adoption is step 1; transformation arrives when AI runs in production with governance, is measured in money and hours, and the company can audit what runs and what decides.

Does this work for small businesses or only enterprises?

Small businesses feel it fastest: fewer people repeating manual processes, with the same governance discipline a large company uses. The free WhatsApp Diagnostic defines the real scope of your stack before anything is quoted.

What is AI "Day 2 Operations"?

It's the discipline of governance, observability and reliability that keeps your AI agents running in production after you've already adopted them. It's not the initial rollout (Day 1): it's what happens when something fails, when you need to measure real ROI, or when you have to audit what AI is actually running in your company.

How is this different from other AI consultants?

Most sell Day 1: pilots, demos, "let's bolt on a chatbot." We operate production systems with SRE discipline: 20+ years of infrastructure experience applied to agentic AI. If it's not observable, it's not in production.

What does the Production Audit include?

About to launch: what will break, found before it breaks. Already live: observability, failure modes and weak points of what runs today, plus what AI actually runs in your company, sanctioned or not, and what it returns measured in money and hours.

How much does it cost and how long does it take?

It starts with a free, no-commitment Diagnostic over WhatsApp. From there, the Production Audit and Deployment Guardrails are scoped and priced to your stack, and Turbo enablement (Rig · Flow) is priced per team. You get an exact number after the Diagnostic, not before.

Do you work with companies outside Mexico?

Yes: Mexico, LATAM and the United States, in Spanish or English. WhatsApp and diagnostic calls work the same in both languages.

What is Turbo Flow and how does it relate to this?

It's our open-source agentic development environment (215+ MCP tools, 60+ sub-agents). We built it and maintain it, and it's part of how we operate AI in production for clients; it isn't a separate product from the consulting.

We're just starting to integrate AI: is this still for us?

Yes, and that's exactly why the Diagnostic is the right door. We don't sell AI pilots, but we do make what you're building reach production without crashing. Integrating well and deploying well are the same road, and it's the one we know.

Want the full walkthrough? Read the guide: How to automate your business with AI in 6 steps →

By tool: n8n guide · Power Platform guide

By process: administrative processes with AI

AI services: AI consulting for business in Mexico · AI production audit · AI governance · AI agents for business

What You'd Normally Hire

The specialists you need are, mainly:

For a website that actually converts (not just looks good), this is the team companies assemble, piece by piece.

>_ COPY

Conversion Copywriter

Headlines, hooks, calls to action and copy that holds attention end to end.

>_ UXW

UX Writer

Buttons, forms, menus and messages that stay clear and easy to follow.

>_ UX/UI

UX/UI Designer

Arranges the page visually to lead the visitor toward one action.

>_ CRO

Conversion Strategist

Analyzes how to turn visits into signups, messages, requests or sales.

>_ BRAND

Brand Strategist

Sets the tone, personality and value proposition.

>_ SEO

SEO Specialist

Writes and structures content to pull traffic from Google.

>_ DEV

Web Developer

Implements the design and guards speed, mobile adaptation and function.

>_ US

Seven specialists. One team.

That's what we put to work on your project, with the production discipline you just saw on this page.

Next Step

Your AI in production shouldn't be a gamble.

Adoption already happened. What separates the companies winning with AI is that it runs in production: solid, observable, no surprises. Let's talk about yours.

Book a Diagnostic

DIRECT WHATSAPP · IN ENGLISH OR SPANISH

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