Vinny GoveaFounder & AI Systems Architect

I make AI actually work inside your business.

Fifteen years running enterprise operations at IBM, Oracle, Amdocs and Dell. Today I run a real business on the AI systems I built and operate myself, every day.

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Vinny Govea, operator who builds and runs AI systems.
Today
15 years
enterprise systems at IBM, Oracle, Dell and Amdocs
150
engineers led at peak
USD 14M+
in real estate operations led, 2022 to 2025
7
countries where my own product line sold

Each number stays in its own category: salaried years, operations my company led, and sales of a brand I built. What the machine runs today lives further down, in the FEUDO chapter, where it has context.

Three industries. One pattern: find the broken market, build the infrastructure, filter the right capital in.

Proof

I don't just advise. I operate.

FEUDO is a real buyer-representation business in the Mexican Caribbean, running on the systems I built.

What I solve there is what I would solve in your business: work that used to need a person now runs on its own, and the person only makes the calls that deserve a person. Buyer demand gets collected and read daily without anyone copying data by hand. Market offers get processed and filtered before a human ever looks at them. Content publishes itself, and one of the systems verifies its own deploy after it ships.

None of it is a demo. The numbers this operation produces live in the FEUDO chapter below, where they have context.

Reviewed 869 open-market offers for one real buyer. Zero survived.

An anonymized engagement, delivered as a written report. Every rejection carried its own sourced finding, twenty-one of them, so the buyer could see exactly why nothing on the open market held up.

That is the standard the whole system runs on. The machine prepares the work. A person makes the call.

Use cases

Simple problems that sound complicated.

The ten-step process becomes one step. The task you never knew how to start gets a first step. Everything below actually happened.

01  Files

The files nobody has time to go through.

Fourteen years of messages, 1.6 million of them, read and sorted by intent. Real buyers came out of that pile and got a call back. Old servers and forgotten folders hold the same kind of value.

Years of backlog, read in days.
02  Reporting

The report you have to ask for three times.

If a number matters, it should not depend on someone remembering to send it. One report now pulls its own data twice a day and publishes itself. It became the most visited page on the site, up 304% in a month.

Numbers that show up on their own.
03  Customers

What your customers actually say.

4,373 public comments read and classified by what people actually fear before buying. That is a market study built from your own market, without buying a report.

The study you thought you had to outsource.
04  Decisions

Know if it's worth it before you spend.

A cost model killed seven of eight product ideas before any inventory was bought. A tax myth was debunked before a million dollar decision. Finding out first has become the cheapest step.

Bad bets die on paper, where they cost nothing.
05  Records

The spreadsheet that never matches the system.

A 393-product supplier list reconciled against the store it was supposed to match: 28 pricing errors found and fixed in one pass. Months of drift closed in a day.

One source of truth again.
06  Documents

The presentations that eat your week.

Branded, client-ready documents and one-page proposals generated straight from your own data. No designer on retainer, no agency turnaround, no template subscription.

From raw data to client-ready.
07  Chores

The technical chore you keep postponing.

Migrating company email, moving a domain, connecting two systems that never talked. The kind of job you would hire out once and overpay for, walked through and done in an afternoon.

Done, documented, repeatable.
08  Costs

The subscriptions you no longer need.

A website that ran on a paid platform now runs for free. Transcription that used to be a paid tool now runs on a laptop. Same result, at a fraction of the cost.

The bill gets smaller as you learn.

Every one of these already happened. Most ran on my own operation first, then on other people's businesses, from a wine retailer's catalog to a product brand's launch research. Different industries, same pattern.

Story

How I got here.

My first tech job paid MXN 9,500 a month answering support calls. Fifteen years later I was running 150 engineers. Three years after that, the operations I led moved over USD 14 million in real estate. Here is how each step happened.

01Enterprise, 2008 to 2023

Fifteen years where a single error propagates across millions.

I have been fluent in computers since I was six, and that fluency got me hired before I finished school: MXN 9,500 a month answering technical support calls, ten hours a day in English. I decided the way up was through systems, and I climbed. Dell had me building automation for US government agencies where failure was dangerous. At IBM I cut a 10,000-incident backlog down to 200 and built tools that caught issues before humans did.

At Oracle I migrated My Oracle Support in 4 months when the estimate said a year. Then Amdocs handed me Comcast: 150 engineers under my lead, keeping alive the orchestration system that activated the network for every new subscriber. Sales, tickets, activations, the truck that delivers your router. When that system failed, millions noticed. My job was making sure it didn't.

Amdocs recognized it with Power of One in 2021, Dell with a Bronze Award in 2013. What I actually kept was the discipline these systems demanded.

IBMOracleAmdocsDellPower of One, Amdocs 2021Bronze, Dell 2013
A whiteboard from Vinny Govea's enterprise years, mapping servers, databases, environments, hot fixes, web services and incident triage in marker. Enterprise
The Amdocs Comcast division office floor, the row of desks of the team Vinny Govea led. Amdocs, Comcast division
The Oracle offices in Mexico. Oracle offices, Mexico
A crowd lined up at the booth to qualify for a chance to buy during the Posh Distro years. The line to qualify to buy

02Posh Distro, 2012 to 2024

Market intelligence, years before AI.

Posh started as a side bet while I still wore a corporate badge, and it grew into the high-end distributor for a continent. Only three stores handled that category across the Americas: one in Canada, one in the USA, and mine in Mexico. Tickets ran from 250 to over 10,000 dollars, sold off a waitlist with zero advertising, billionaires among the names on it. At its peak the operation moved up to MXN 2.9 million in a single month, and my own product line reached buyers in seven countries.

High-ticket product, thin margins. The real return was an education in scarcity, demand and hype from inside a market that could not legally advertise. So I positioned it with pure search, and customers arrived already looking for it. I exited before Mexico banned the category in 2025. Same playbook FEUDO runs today.

We didn't sell devices. We sold identity.

Expo dynamics from Vegas, Italy and Spain during the Posh years. Expos, three continents
Bulk shipments packed and ready to ship worldwide. Shipping worldwide

03Real estate, 2020 to 2025

An industry moving millions with no process. That was the opportunity.

In 2020 I tried to buy an apartment and found an industry improvising at every step. I came from fifteen years of disciplined systems and a business of my own run to documentation standards it was never required to meet. Here was a market moving millions with none of that. Bringing order to it became the job, starting with a hard hat in Playa del Carmen.

By 2022 the company I co-founded designed the commercial launch of Cocay Tulum, from the initial product base to its market positioning. The first phase sold out in four months and was delivered in ten. The phase closed at MXN 81.6 million, about USD 4 million, with MXN 29 million sold directly by our own effort.

Between 2022 and 2025 the operations I led moved over MXN 275 million, around USD 14 million, from private investor events to offer signings I still can't name because of NDAs.

Vinny Govea in a hard hat starting exploratory work in Playa del Carmen in 2020. Playa del Carmen, 2020
Cocay Lofts at night on delivery of the first phase, completed in ten months. Cocay, first phase
Vinny Govea presenting at a developer activation event. Developer activation event
A ThinkPad and an external monitor running code during long working sessions. The long sessions

04Learning the tools, 2023 onward

From first prompt to a production system.

I started with ChatGPT and learned there what an LLM could actually carry in production. I moved to claude.ai in early 2025.

By March 2026 I had consolidated fourteen assistants into four working project spaces, written a commercial protocol, built a library of reusable skills, and defined three buyer segments the system reads against. The protocol says it plainly: FEUDO doesn't chase leads, it evaluates them.

05FEUDO today

A business rebuilt so a system could run it.

I rebuilt feudo.com.mx from the ground up on Next.js and Cloudflare, rescuing 70 posts out of a 282MB SQL dump and shipping 109 routes. Seven autonomous systems run on top of it, and I am the one who keeps them honest every morning.

System telemetry
Operation to date
accumulated since May 2026
1,000+
buyer-demand
signals
4,434
market offers
processed
140
beaches monitored
twice a day

Real numbers from a business I operate, not a demo. One of the seven systems verifies its own deploy after it publishes.

Vinny Govea signing offers at the activation event of a Tulum residential development, name withheld under NDA. Offer signing, Tulum
Vinny Govea and team in FEUDO hard hats on a rooftop inspection in Tulum. Rooftop inspection
Signing paperwork with buyers at a delivered unit. Signing day with buyers
Post-delivery warranty walkthrough at Cocay Tulum. Post-delivery walkthrough

I stand behind every number on this page, because I am the one who runs the machine that produces them.

Vinny Govea
Founder & AI Systems Architect

Work with me

Make the AI in your business actually work.

If your team runs agents, I'll tell you where they leak.

Engagement

AI Implementation Audit

A closed review of how AI runs inside your business. I read your setup the way I read my own: where it drifts, where context leaks, where a person has quietly become the bottleneck. If your team runs agents, I'll tell you where they leak. You get a written report and a prioritized fix-list an engineer can act on Monday.

From USD 4,5003 to 5 days, written report and fix-list
Start here

Strategic Discovery Call

Ninety minutes on your specific situation. I tell you what I would do and why. The fastest way to find out whether the audit earns its price.

USD 50090 minutes, paid in full up front

Contact

Tell me where the AI in your business is supposed to help and isn't.

Connect on LinkedIn

Direct, one to one. A short note about your setup is enough to start.