Case 01Delivered
FinOps & Operations
Bellatrix System — Integrated Financial Operations
A production Flask financial and operational system using MySQL, Redis/Celery, Nuvemshop integration, dashboards, and automated deployment.
View detailsExecutive applied AI consulting
Decide what deserves to become a system.
Your company has already tested AI. Now it must choose what to scale, correct or stop — with enough evidence to invest.
Before increasing investment, make impact, risk and real delivery capacity explicit.
Execution evidence
Capability is proven in the work.
All eight cases state what was built, their current stage and the limits of the available evidence.
Case 02
SaaS & AI Operations
Coven — Marketing AI Control Tower
Internal SaaS under validation, with a Next.js frontend and tenant-isolated FastAPI backend for governed marketing operations.
View detailsCase 03
AI Sales & Commerce
Smart Engine Sales — Bia for LA Suplementos
A production single-tenant deployment for LA Suplementos using Bia, FastAPI, LangGraph, PostgreSQL, and Evolution API.
View detailsExecutive diagnosis
One decisionbefore a project.
Triage confirms fit. When there is a relevant decision, the executive diagnosis organizes the evidence and recommends the next move.
- 01
Confirm fit
Context, owner, urgency and decision question.
ResultAdvance or decline
- 02
Analyze
Process, data, expected impact, risks and delivery capacity.
ResultExecutive assessment and decision criteria
- 03
Prioritize
Conditions and limits to scale, correct or stop.
ResultPriorities and conditions
- 04
Choose
Next investment, owner and explicit delivery conditions.
ResultRecommendation and next step
Recommended decision
ScaleCorrectStop
When it makes sense
Does the initiative deserve investment?
The diagnosis is appropriate when the company has already tested AI, needs to compare alternatives and does not yet have enough evidence to decide the next investment.
FL
Fernando Leão
Executive direction with technical accountability.
Fernando Leão leads the diagnosis and is accountable for the recommendation. Specialists, tools and automations join when needed; accountability for the decision remains human and explicit.
Find out whether there is a decision worth diagnosing.
Triage checks fit. If there is a decision problem we can lead, the next step is an executive diagnosis.