MIT xPRO
Designing and Building AI Products and Services
Exemplary Assignment
An MIT Open Learning program (Emeritus). AI product-design frameworks applied to real cases.
ProductTechnologyAI transformation
I translate AI into revenue for companies that already exist.
I help boards and C-levels bring AI into the core — processes, products, and governance — without speeding up what is already wrong. AI-native is the maturity destination; the work is transforming companies that already operate.
Execution proof
0 → 7M+ MAU
99Pay in under two years, CAC under USD 10
−40% onboarding
Journey automation at nstech (Insurance Market)
−500h/month
Manual work removed with AI-guided workflows
11 years → 2 weeks
Legacy modernization with an AI squad plus a human team
−75% no-shows
Validation with low-code before engineering (PM3)
About
I connect the customer journey to revenue — and I can make it happen technically, not only sketch it in Miro.
In more than 25 years the pattern has repeated: understand how the customer moves through the process, tie that to revenue, and execute with technology — in traditional markets (insurance, logistics, fintech), not only in startups.
Today I am Head of Product for the Insurance Market business unit at nstech. Before that: 99Pay from zero, a decade of customer-journey work with Genesys (Vivo and Itaú, including Brazil's first digital bank branch), and VoIP engineering on a Google project via Globant.
Advisory Council member at Rede Líderes
Co-author of the book Produto & Tecnologia: Como decidem as lideranças (Rede Líderes).
Services
How I help
AI-Native Readiness diagnostic
1–2 days
Maturity assessment across six dimensions: governance, operating system, transformation, scale, product+tech, and leadership. Delivery: a score plus a prioritized plan.
Agent governance workshop
1 day
A three-level autonomy framework, an AI committee, accountability, and a production checklist.
Monthly advisory
Ongoing operational transformation with AI for the C-level — board reviews, legacy systems, and agent scale.
Projects
GuiaFlow
Open source
An editor and player for product tours, with screenshots, highlights, simulated clicks, and narration. It is open source.
LeadPronto
Routes Meta Ads leads to the right WhatsApp chat, watches the sales team’s response SLA, and uses AI in each conversation. The salesperson stays in WhatsApp on their phone.
Talks
Leading Tech Talks (BossaBox)
Scaling before adding people and AI
Open panel at Nica Café in São Paulo, moderated by Ulisses Silva of BossaBox. The discussion was what changes when a team stops being software-centric, and why seeing the operation comes before scaling people and AI.
Academia de Cases PM3
Onboarding MVP and solution discovery
A case in São Paulo. An onboarding MVP for averbação, using WhatsApp and low-code, in a solution discovery that validated the idea in two weeks before spending engineering time.
Featured credentials
Also
- DeepLearning.AI (multi-agent systems with crewAI)
- Pendo.io — AI for Product Management
- Scrum.org — PSM I
- Telecommunications, Universidad Blas Pascal
Writing
Council
Rede Líderes
Advisory Council member
Leader Relationship Management — Geramos CONFIANÇA entre líderes e empresas
Advisory Council member of Rede Líderes, having already taken part in several council meetings with companies, bringing a product and governance angle on the use of AI.
Book
Produto & Tecnologia: Como decidem as lideranças
Collective book · 20+ co-authors
Chapter themeContext Engineering and the Product Stack Builder
In my chapter, I explore a central provocation: how does Context Engineering redefine the role of the Product Stack Builder in the world of Generative AI?
I believe we have left the era of static requirements documents for the era of orchestration. Where there used to be a gap between “those who think” and “those who build,” the Product Stack Builder now appears — a professional who uses AI agents and modern platforms to prototype and scale solutions with unprecedented agility.
AI did not come to replace the building process. It came to raise the product manager into the role of architect and executor of the business’s intelligence.
In progress
Currently writing my first full book
The theme is turning the customer journey, product, and technology into revenue. Artificial intelligence is the current wave, not the whole subject.
Articles and frameworks
- O que líderes de seguros e logística perguntam sobre IA
- Como estruturamos o custo de IA na nstech — o que subestimamos
- Você contratou 5 Prompt Engineers. Agora o que?
- Da IA-Squad à AI Factory: Arquitetura de Escala
- Org chart pós-IA: o que muda, o que some, o que nasce
- Sua empresa tem 47 agentes. Nenhum deles se fala.
- As 4 Fases da Maturidade AI-Native
- Além do Prompt: Como o Loop Engineering Pode Salvar o Seu Dia de Produto
Resources
Maturity forms to fill in. The download asks for your name, email, and company.
AI Readiness Score
A self-assessment across 6 dimensions (0–30), with the interpretation, an action plan, and a one-pager for the board.
Contact
If you lead a company that already operates and want to bring AI into the core — with discipline around process, governance, and revenue — let’s talk.