About the agency
The AI innovation arm your company doesn't have to build.
Quick Solutions AI is a lean team of AI engineering and applied research. We work as companies' innovation arm: we follow new releases in the market, test them with the client's data and put into production what delivers performance and savings. The people you talk to are the ones who design, build and maintain. There is no account-management layer between your problem and the code.
Who we are
Who's behind it
The agency is led by Marcelo Oliveira: over 35 years in technology, a degree in Computer Science, a specialisation in Data Science and Analytics, and training in people management. Much of that time was spent in technical and executive leadership at large organisations, where an architecture mistake costs years.
That experience shaped how the agency works: understand the operation before building, measure before promising, and leave everything we build with the client.
No layer in between
The usual model
- You
- Sales
- Project manager
- Developer
Quick Solutions AI
One conversation, with the people who write the code.
- Leadership
- Marcelo Oliveira, AI architecture and systems engineering
- In numbers
- 7,000+ commits in 2026, 900k+ lines of code and 14k+ automated tests, across 8 systems
- Where
- Brazil, with client data hosted in the country
Who we work with
B2Content
B2B growth
Codecycle
Software engineering and AI
SMART
Software engineering and AI
Background
Where the method comes from
Three decades in technical and executive IT roles, up to Development and Innovation manager at SENAI and SESI São Paulo, two of Brazil's largest vocational education institutions. Large systems, with many people depending on them and accountability at the end. In 2026, that background turned into hands-on code.
- 35+
- years in technology
- 90+
- people led at SENAI and SESI
- 3
- appearances in 2026 at G8 Relações Construtivas no Varejo: two talks for CEOs and a sprint
- 2 MBAs
- Data Science & Analytics and People Management, on top of a Computer Science degree
- 1
Three decades
Systems engineering and legacy modernization
From software engineering and legacy migration to leading people and data-driven decisions.
- 2
SENAI · SESI
IT Development and Innovation manager
A team of more than 90 people and the strategic projects SOFIA, SeEd and Adaptive Learning. Data governance, architecture and formal reporting to senior management.
- 3
2026
Founder and chief engineer of Quick Solutions AI
AI agents, multi-tenant platforms, tax integrations and BI in production. Hands on the code: the commits are his. A standing partnership with b2content.
- 4
2026 · stage
Speaker for retail CEOs
Two talks for the CEOs of G8 Relações Construtivas no Varejo, on AI for talent retention and on agentic commerce, and facilitation of the Infinite Shelf Sprint.
What each stage left behind
- 1Understand the operation before choosing the tool
- 2Architecture that lasts for years, not just for the demo
- 3Deliver in short cycles and show the result
- 4Train the people who will use it, not just those who will maintain it
- 5Document so the client can carry on without us
Rather talk directly to the people who build?
Book a call. Tell us the pain point, and we'll tell you frankly whether AI solves it, and what it would cost.