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Telehealth, diagnostics, and pharmacy. Run as one system.

A protocol becomes adherence. Adherence becomes P&L. I build the layer that makes that happen.

Black box on the inside. Glass box on the record.

Fractional or full-time COO. I build the backend operating layer for US telehealth and diagnostics companies scaling from $5M to $150M. Run with AI: a production agent on a live customer channel recovered about 45% of leads lost to response lag. Less lag, pharma-grade compliance, optimized EBITDA. Fractional is the front door, not the whole house. For the right seat, full-time is on the table.

Let's talk

Watch the 3-minute case →

How I work

Three moves, in order, every time (that changes everything)

01 · See the board
Wired as: Visionary Innovator

See the board

I connect the dots most people miss. The seam that matters right now is regulatory pressure landing on probabilistic systems (compliance was built to audit deterministic processes; AI does not behave that way). Someone has to see the collision before it lands.

Production AI agent built in 13 days (Claude + ERP + WhatsApp). About 45% of warm leads recovered.

02 · Invent the system
Wired as: Connecting Architect

Invent the system

I design the operating model the problem actually needs, not the one that's convenient. For regulated AI that means an auditable middleware, an append-only ledger, and guardrails as the product. One point of trust the auditor can read.

100K+ patient encounters over ~18 months, operating engine built from zero at HelixVM.

03 · Build it
Wired as: Igniting Leader

Build it

I build the machine that runs operations, and the team that keeps it running. Then I make it survive contact with real volume.

300% regional growth and #1 market ranking at Omron LATAM (demand doubled in under 8 months). 1,796 monthly physician/KOL engagements at Iris/Fenix Ecuador.

One career across every square of this board. That's how I see it whole.

01 · See the board
Wired as: Visionary Innovator

See the board

I connect the dots most people miss. The seam that matters right now is regulatory pressure landing on probabilistic systems (compliance was built to audit deterministic processes; AI does not behave that way). Someone has to see the collision before it lands.

Production AI agent built in 13 days (Claude + ERP + WhatsApp). About 45% of warm leads recovered.

02 · Invent the system
Wired as: Connecting Architect

Invent the system

I design the operating model the problem actually needs, not the one that's convenient. For regulated AI that means an auditable middleware, an append-only ledger, and guardrails as the product. One point of trust the auditor can read.

100K+ patient encounters over ~18 months, operating engine built from zero at HelixVM.

03 · Build it
Wired as: Igniting Leader

Build it

I build the machine that runs operations, and the team that keeps it running. Then I make it survive contact with real volume.

300% regional growth and #1 market ranking at Omron LATAM (demand doubled in under 8 months). 1,796 monthly physician/KOL engagements at Iris/Fenix Ecuador.

The Math

The Brutal Math

Half the venture capital in 2025 went to AI. Health and bio came in second among all sectors, at $71.7B. A new state AI law lands every two and a half days, and six hard federal and EU deadlines hit in the next 23 months.

The pool of operators trained to clear it fits in one office building.

Every number below is sourced or shown as an estimate.

$71.7B
Health &
Bio
$52B
Financial
Services
$42.2B
Climate
Tech
$8.5B
Defense
Tech
Total venture by sector, 2025 · Crunchbase (climate: PitchBook)
01 · The Universe
$211B

of the $425B raised globally in 2025 went to AI (Crunchbase, January 7, 2026 year-end count; the full-year total was later revised to $440B). Health and bio was the year's second-largest sector at $71.7B. Where the AI money and the regulated money pool together is where the compliance clock is loudest.

Sources · Crunchbase 2025 year-end (Jan 7, 2026) · PitchBook 2025

02 · The Rolling Wave
2.5 days

That's how often a new state AI law landed in 2025 (145 enacted from 1,208 bills introduced, with 1,561 more introduced across 45 states by March 2026). On top of the state wave: six hard federal and EU deadlines in the next 23 months. And the rules keep moving before they land. A DOJ AI Litigation Task Force (EO 14365, December 2025) is challenging state laws, and Colorado rewrote its AI act before it ever took effect. If you run US DTC health, your clock is CMS-0057-F plus the state wave Colorado just restarted. The EU rows start ticking the day you expand.

Sources · MultiState AI legislation tracker · Innolitics FDA AI/ML list · EU AI Act + Digital Omnibus (Reg. 2026/1744) · CMS-0057-F · EO 14365

FDA AI device clearances 221 → 295/yr
2023–2025
FTC Operation AI Comply
Sep 2024
EU AI Act enters into force
Aug 2024
Texas TRAIGA
Jan 2026
EU GPAI enforcement begins
Aug 2026
EU AI content marking, Art. 50(2) transition ends
Dec 2026
CMS-0057-F FHIR APIs
Jan 2027
Colorado SB 26-189
Jan 2027
EU national AI sandboxes
Aug 2027
EU high-risk obligations, Annex III
Dec 2027
EU AI in medical devices, Annex I
Aug 2028
Already landed
Coming: next 23 months
Senior Ops Execs · US Regulated Verticals (our estimate, BLS OEWS base) 200,000
↓
× 5% · At Orgs That Reached AI Production (MIT NANDA) 10,000
↓
× 20% · RA/Compliance/CAPA + P&L Judgment (our assumption) ~2,000
03 · The Pool
~2,000

people who can hold RA, compliance, and a P&L in the same head. The only real translator between the CTO and the auditor. In the coming months, as the wall looms, tens of thousands of companies will be hiring from that same pool of about 2,000. And MIT's NANDA study puts the production gap down to integration and learning failures, not regulation. That is an operations problem. That scarcity is why fractional exists: several companies share one operator instead of losing the search.

Sources · BLS OEWS 2024 · MIT NANDA 2025 (The GenAI Divide)

Brutal Math, in 3 minutes

Why only about 2,000 people can run AI in a regulated market, and how I'm wired to be one of them.

Proof by What I've Built

13
Days to production, live regulated channel
Case Study 01

An AI Sales Agent on a Live Channel: The Guardrails Are the Product

A DTC medical-device operation was losing close to half its warm leads to reply lag. I put a production AI sales agent on the live WhatsApp channel with a price-integrity rail, human-in-the-loop takeover, and one append-only audit trail behind a single middleware.

24/7Autonomous coverage
1Point of trust
Read the case study →
300%
Regional growth, #1 category ranking
Case Study 02

Omron LATAM: Product Development & Go-to-Market Machine

Omron LATAM had product but no go-to-market machine built for the region's specific gaps. I designed the launch framework and distribution model from scratch, then built a 7,000-point POS network and DTC channels to run it through.

7,000POS points
50+Product launches
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100K+
Patient encounters, 18 months
Case Study 03

HelixVM: Patient-Ops Engine from Zero

An AI telehealth operation was treating conversion as a number to hit. I rebuilt it as a variable to steer: a stage-by-stage conversion cascade that located every drop and its cause. Turned out the real constraint was capacity, not intake.

~50%Appointment-time cut
40%Conversion lift
Read the case study →
GDP (GWDP)
Certification earned, top-5% score
Case Study 04

IRIS / FENIX: The regulated operating system, built from zero

A founder-led pharma and diagnostics business with no operating infrastructure. I built the ERP, the quality system, the SOPs, and the pharmacovigilance function as one system, and carried it through GDP (GWDP) certification.

25%Equity, Country GM
1,796Monthly physician engagements
Read the case study →
Currently

What I'm speaking about, writing, and shipping right now.

Hugo Acurio presenting at Seton Hall Law LATAM-HCCP 2026 in Bogotá. Talk title: Pharmacovigilance in the age of AI.
Speaking
21 September 2026

Seton Hall Law · LATAM-HCCP 2026, Bogotá

The reform wave hitting LATAM RA and pharmacovigilance teams, and the AI plus audit-trail architecture that keeps compliance readable. Download the PV/TV reform calendar inside.

Read the recap →
Slop Wars: The Font of All Evil — a Star Wars parody illustration by Hugo Acurio.
Writing
This week

Slop Wars: the slop was already there

The AI-slop discourse has selective amnesia. Prep for the next piece, which opens the black box on what happens when you type a prompt.

Read the post →

Insights

You can't afford a COO? The math just flipped
July 5, 2026

You can't afford a COO? The math just flipped

Why AI turned senior operating leadership from a late-stage luxury into a survival hire, for small companies most of all.

Read the article →
AI Isn't a Great Leveler. It's a Great Un-Masker.
July 5, 2026

AI Isn't a Great Leveler. It's a Great Un-Masker.

The "AI helps low performers most" story is real, and it may be measuring the wrong thing.

Read the article →
We only have two settings for new technology. Both are wrong.
July 5, 2026

We only have two settings for new technology. Both are wrong.

What the dot-com crash teaches us about where AI is, and who wins from here.

Read the article →
Every metric is a tributary. Only one is the river.
July 5, 2026

Every metric is a tributary. Only one is the river.

The AI-native operator connects every function, but everything must point at one thing. In a world where capital is no longer easy, that thing is cash.

Read the article →
The F1 Business Era
July 29, 2026

The F1 Business Era

Once every team rents the same AI, the edge shifts from big product leaps to compounding micro-adjustments, lap after lap.

Read the article →
How to Give an AI Agent Memory Without Breaking the Audit Trail
July 31, 2026

How to Give an AI Agent Memory Without Breaking the Audit Trail

Why agent memory should be a projection of the same audit log, not a separate notebook, one model summaries can never promote to fact.

Read the article →

About

I'm Hugo Acurio, a healthcare operations leader based in Fort Lauderdale (English, Spanish, and Portuguese).

I've spent fifteen years building the operating layer that turns technology into patient and provider outcomes: the patient-operations engine behind 100K+ encounters at an AI telehealth company, a production AI agent now running on a live customer channel, and 300% regional growth at Omron across LATAM. I also founded and operate a regulated pharma and diagnostics business (full P&L, distributor networks, regulatory affairs under ARCSA with pharmacovigilance compliance, a cross-functional team).

The thread through all of it: see the board, invent the system, and build it.

Featured in CXO Dispatch →

Read the full story →

Let's talk.

If you're a founder or CEO scaling a DTC health, telehealth, or diagnostics company and the operating layer still needs building, reach out.

[email protected] · linkedin.com/in/hugoacurio
See where your operation leaks