I help companies go beyond isolated AI tools and embed AI at the core of the business, driving real revenue growth.
They start by asking "what can this technology do?" and end up with a dozen subscriptions, a few clever demos, but no change in the numbers that matter.
Every team buys its own assistant. Nobody owns the whole picture, data is scattered, and costs add up quietly.
Proofs of concept impress in the meeting, then stall because no one redesigned the process around them.
Sensitive data ends up in public tools, nobody checks the results, and nobody manages it until something breaks.
When nothing was measured before, nobody can prove anything improved after. The budget conversation becomes faith.
The opportunity isn't to adopt AI. It's to integrate it into the business so it moves the metrics that matter.
Most AI projects start with "Can we automate it with AI?" STRAVAI starts with: what does your business need to achieve?
Five phases that take a company from executive ambition to AI running inside real operations, with measurable financial results.
Before anything technical: where is the company going, what are its strategic priorities and competitive pressures, and which business metrics really matter? Every later decision traces back to this.
Look at processes, data, systems, customer journeys, team capabilities and operational bottlenecks. Rank the opportunities by business impact, feasibility, cost and risk, not by how impressive the demo looks.
Redesign the workflows themselves. Define the right mix of AI, automation, data, enterprise systems, people and governance. Make the build-versus-buy calls and map the integrations before money is committed.
Put the prioritized solutions into real business environments. Check technical performance, user adoption, process change and, above all, business results against the baselines set in Align.
Go beyond isolated wins. Extend proven capabilities across business units, measure financial returns, manage risk, and keep improving performance with a steady operating rhythm.
Most AI advice comes from people who only know the technology, or only know the slide deck. I've had the chance to build the systems, run different kinds of businesses and sell enterprise technology across Latin America.
I'm a Systems Engineer. I've built software, designed solutions and led technology teams. I know what it takes to turn an idea into a system that actually works.
Key: I can tell what technology promises from what it can really do, and what it costs to implement.
I've been Country Manager at three companies and VP of Growth for Latin America. I've led teams, made tough calls and been directly accountable for revenue, profitability and results.
Key: A good technology decision isn't measured by how sophisticated it is, but by the impact it has on the business.
For years I've worked with companies on their digital transformation, from defining the strategy to selecting, selling and implementing enterprise solutions.
Key: I can connect business priorities with technology capabilities and turn that vision into a concrete execution plan.
I hold AI work to the same standard I've held my own businesses to.
Revenue in six months
Peak YoY growth at 20–25% EBITDA
Above EBITDA targets
Conversion lift across 30+ clients
Team NPS
Enterprise transformations
A focused engagement with your leadership team to set the business North Star and find where AI can actually move your numbers.
Future-state workflows, architecture, build-versus-buy decisions and a defensible investment case your board can approve.
Hands-on leadership through deployment, adoption and scaling, working with your teams and vendors until results are measured.
A 30-minute conversation, no pitch deck. If AI isn't the right lever for your goal, I'll tell you.
AI assistant, it can make mistakes. Conversations are stored for 30 days to improve follow-up.