01Capabilities
What the house knows how to do, and where each one has already been practised: the data floor a decision stands on, the team and the method that deliver with AI inside a harness, and the products and the operation that come out of it.
02The 3 capabilities
7 case studies4 positions
I design where data lives and who is allowed to do what with it: the flow from sources to indicators, number checks and access rules. LGPD safeguards consider the purpose, reported legal basis and access to the data.
The practice and the evidence: Data Architecture and Governance
2 case studies3 positions
I map how teams work and where AI can create value. I develop teams' capabilities and document processes, decisions and exceptions. Where the work allows, I implement agents with scope, limits, owners and metrics, keeping relevant decisions and approvals with the people responsible.
13 case studies15 positions
I map how the team builds and what the product needs to solve. I define development standards, reusable foundations where they fit, and quality checks. The approved scope sets the integrations, costs and responsibilities. Human review and documented operation help the team maintain what is delivered.
Sold within
The practice and the evidence: Vibe Coding and AI-Based Products