The hard part is not the technology. It is trust.
By the time a model demos well, the real work is just starting: what a company will put its name on, who owns it when it breaks, and how a team changes to actually use it.
AI go-to-market, adoption, and strategy
I take AI to market, and I make sure it actually gets used.
At Meta, I take emerging AI products from concept to paying customers, across enterprise and small business. Before that, fifteen years bringing new technology to market in tech and telecom across the Americas. I use these tools myself every day, so I meet customers as someone who actually uses this, not someone reading from a deck.
English, Portuguese, and Spanish. New York and Sao Paulo.
Point of view
By the time a model demos well, the real work is just starting: what a company will put its name on, who owns it when it breaks, and how a team changes to actually use it.
I run my own work on these tools every day, so I can tell a team where the real value is and where the hype starts. I have usually hit the walls they are about to hit.
It is moving from what a tool does in a demo to what a business rebuilds around it. That is a leadership call, and most companies are still deciding who owns it.
The work
At Meta, I take emerging AI products from concept to paying customers, across enterprise and small business. The seat gives me an honest view of how companies actually adopt this.
I am not the engineer who ships the product. I am the heavy user who lives in these tools and automates my own work with them, so I sit across from a customer as someone who actually uses this, not someone reading from a deck.
Emerging AI does not come with a manual. I work it from the first conversation to real adoption, turning what a product can do into what a business will actually change in order to use it.
I have carried large enterprise relationships on the sell side, and I run my own paid acquisition on the buy side: the ads, the analytics, the unit economics. I read what the customer reads, because I am one.
I was part of the team that brought WhatsApp Business to the US, a category that did not exist here when we started. It taught me how a genuinely new product earns its way into real companies.
Before Meta, TIM in Brazil. Nine years at Meta since, the first two in Sao Paulo before I relocated to New York. Fifteen-plus years in total across tech, telecom, and e-commerce in Latin America and North America, a move I earned on results.
Speaking and judging
I speak and judge when the work is worth sharing, usually about how AI actually gets adopted, not how it demos.
Beyond Automation: How AI Is Unlocking a New Era of Human Potential
The End of the All-Knowing Leader

















Beyond the day job
An independent practice I run, helping small businesses and entrepreneurs adopt AI well. The same work I do at scale, brought to owners who do not have a team to do it for them.
embedwise.ai ↗
Perceptions of a World in Motion
It started as a blog I co-wrote at university, while I was studying International Relations. In 2010 a public vote named it the best politics blog in Brazil. The book gathers the best of those posts, a record of how the world looked and felt through the 2010s.

I mentor operators and founders working AI into their companies, the people doing the unglamorous work of real adoption.

Second year, on the AI track. A Business Strategy postgraduate from FIA before that.
Contact
I am open to the right conversations: senior and leadership roles, advisory and board work, and speaking. Not a pitch, a conversation.