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Giovanni Ruizmanrique

I built a company that found where AI fits a business, then built it.

I co-founded Everglade Systems in 2025: an AI consulting and development firm for small and mid-sized businesses. I ran discovery, scoping, and outcomes on 20 client builds while my co-founder ran engineering. In August 2026 the company was acquired by a private equity firm. I'm now looking for my next product role.

Connect on LinkedIn yanni7880@gmail.com
$750K
total revenue
73%
profit margin
20
clients
Aug 2026
acquired
Giovanni Ruizmanrique

Selected work

Three builds, written up the way I'd walk a hiring manager through them: the problem, the calls I made, what shipped, and what the numbers did.

All work

Healthcare

$450K

in compliance fines avoided, March to August 2026

A private, air-gapped AI for a 30-physician group: $450K in fines avoided in five months

My role: Discovery and problem definition, scope and prioritization, success metrics

Legal

+$30K

more revenue every month within six months, same 18 people

An in-house AI assistant for an 18-person law firm: $100K to $130K a month without hiring

My role: Discovery and problem definition, scope and prioritization, success metrics

Real estate

$2.3M

in new revenue over six months, about 75% of it profit

One AI pipeline for every lead: $2.3M in new revenue for a real estate company in six months

My role: Discovery and problem definition, scope and prioritization, success metrics

How I work

The same three habits ran through every engagement. Each one links to the case study where it mattered most.

  1. 1

    Find the real problem

    Clients came to me with a solution in mind: "we need AI for our paperwork," "we need more leads." The assessment turned each one into a specific, measurable problem, and sometimes into a different problem than the one they'd named.

    A real estate firm asked for more leads. Tracing where leads died showed they were losing the ones they already paid for. Read it ›

  2. 2

    Scope small, sequence deliberately

    Every build shipped a first version with a short list and an explicit "not yet" list. The order of the list was a decision, not a default: fix what's costing money first, earn trust, then expand.

    For a law firm, making the scanned archive searchable came first, drafting came last, even though drafting was the feature the partners wanted most. Read it ›

  3. 3

    Define the number before the build

    Before Andres wrote code, the client and I agreed on what "working" meant and how we would measure it. Then we measured it, and published the result.

    For a physician group, the metric was "compliance reports filed on time." The $450K followed from that row. Read it ›

Other work

Seven more builds from the same period, in one table. Every number comes from a system that ran in production.

Large healthcare clinic Problem: Hand-typed patient and insurance details caused rejected claims and late fees. Shipped: ML check on every claim before submission, inside their EHR. 400+ billing hours/week back; $340K+ in fees avoided My role: Discovery, scope, success metrics
B2B sales team Problem: Call prep took hours, so it only happened sometimes. Shipped: Research agent that briefs the rep 15 min before each call. 80% less prep time My role: Problem definition, spec
Coaching practice Problem: Every client submission waited on one person to grade it. Shipped: Computer-vision app scoring against the coach’s own checklist. 99% auto-scored; waitlist gone My role: Scope, acceptance criteria
Film production company Problem: Loyalty tracking in three forms and a hand-updated spreadsheet. Shipped: Automated tracking, milestones, and follow-ups on their existing tools. 300%+ customer growth, no data entry My role: Discovery, prioritization
Service business Problem: $1,500/month for a few SEO articles nobody read. Shipped: AI content system the team edits instead of writes. 95% lower cost; 4x output; 8–16x traffic My role: Scope, metrics
B2B company Problem: Daily LinkedIn presence kept falling off the list. Shipped: Autonomous posting, research, and competitor-monitoring agent. 1M+ impressions; 95% lower cost My role: Problem definition, metrics
B2B sales team Problem: Outbound depended on one busy person remembering to follow up. Shipped: Automated connection, follow-up, and meeting-request sequences. 500+ decision-maker connections/month My role: Scope, sequencing decisions

Everglade Systems, in brief

Founded in 2025, acquired August 20, 2026. The full story, including what I'd tell someone starting a services company, is on the About page.

The full story
  1. 2025 Co-founded Everglade Systems in Miami with Andres Diaz
  2. 2025–2026 20 client builds across healthcare, legal, real estate, accounting, and services
  3. Mid-2026 Grew to 4 full-time people; $750K total revenue at 73% margin
  4. August 20, 2026 Acquired by a private equity firm

In their words

Gio and Andy killed it, man. They really showed us how much more we can take in just by fixing what we thought couldn't be fixed with AI. These guys aren't just technical dudes. They're business consultants first and AI second.
Cesar Caban, Head Broker, RE/MAX · the case study
Seriously, I don't know how we worked before these guys. My doctors and billers can actually take on more patients now. It freed up a lot of my billers' time, and my doctors went from doing paperwork to actually seeing patients.
Dagmary, Clinic Owner, Specialist physician group · the case study

Let's talk

I'm looking for a product management role where finding the real problem matters as much as shipping the fix. If that's your team, I'd like to hear about it.

Connect on LinkedIn yanni7880@gmail.com