AI Strategy & Execution

Same team, double the output.

That's what well-implemented AI does.

I'll show you where that number is in your company. And I'll build it.

Book a Strategy Call ↗
First conversation is free.

20+

organizations advised

growth in selected projects

$500M+

in initiatives and transactions managed

The real problem

The problem isn't the technology.

Your company already has access to AI tools.

The problem is that nobody knows how to turn them into concrete results without breaking what already works. That's exactly what I solve.

01Experimentation
02Prioritization
03Implementation
04Results
Real cases

Real implementations. Real numbers.

M&L Salud Mental — two locations in Santiago

$7M CLP saved per year. Without changing the team.

The admin team couldn't scale scheduling at the pace the clinic was growing. We implemented a custom WhatsApp agent for appointment management, replacing a paid external platform.

  • From 20 to 60 psychologists managed without hiring more administrative staff
  • $7M CLP annual savings in platform costs
Dob Capital — decentralized finance, Chile and Peru

From 3 people and months of work to 1 person and days.

Production depended on coordination across growth, UX/UI, and development — cycles of weeks or months per deliverable. We standardized the full production workflow via Orquesta.

  • From 3 coordinated profiles to 1 single operator
  • Production speed multiplied by 3
How we work

A clear path, from opportunity to result.

01

Executive Diagnosis

Before touching anything, you know exactly where time and money are dying in your operation.

02

Strategic Prioritization

You have a short list of bets with demonstrable return within weeks. No hype, no 18-month projects.

03

Implementation

AI running in production inside your operation. Not a roadmap. Not a presentation. Something that already runs.

04

Continuous Direction

Results are measured, what doesn't work gets iterated, what does gets scaled. I stay until the number moves.

Built from practice

Built from practice.
Not from theory.

This methodology was born from building products, coordinating teams, and implementing AI-assisted workflows in real environments.

Part of this learning comes from creating Orquesta, a collaborative orchestration platform for teams building with AI.

Orquesta — evidence of hands-on experience, not the product being sold.

Orquesta — plataforma de orquestación de agentes
Expected outcomes

What changes in your operation.

01

Less manual work

Repetitive tasks automated with judgment.

02

Higher productivity

Teams focused on what moves the business.

03

More scalable processes

Operations that grow without growing friction.

04

Better decision-making

Timely information where decisions happen.

05

Faster execution

From idea to production in less time.

06

Effective AI adoption

Technology the team actually uses.

Who's behind it

Builds and executes. Doesn't advise from a distance.

StrategistOperatorBuilderEntrepreneurEconomistPMPInnovation & transformation leader

Founder and builder of Orquesta — agent orchestration platform with 215+ users, 114+ projects, and 12,774+ prompts executed in production. Economist, PMP, and operator. The difference from any other consultant: I already built the system I'm going to implement for you.

PMP · PMI ↗Economist · U. de ChileCert. PM · MIT ↗

M&L was losing $7M a year
before the first call.

In 30 minutes I'll tell you what to implement first and what it will generate.

Book a Strategy Call ↗

For companies with active operations and at least 5 people on the team.