1labs / Method
Four phases. Each one puts something in your team's hands.
Problem assessment and target architecture.
We listen to the business, review processes, data and systems, and agree on which problem we'll solve and what the outcome looks like.
AI-powered development with your team inside the project.
Your team works with us from day one. We build in short releases and decide together.
Training, documentation, code and governance handed over.
We hand over everything needed to operate: code, documentation, governance rules and hands-on training.
Tapering support until you operate on your own.
We gradually reduce our support. We're done when your team runs it on its own.
1labs / The full flow
The four phases are organized in two diamonds: first we open up to understand the problem and close with a clear definition; then we open again to explore solutions and close by validating with real users. When the evidence calls for it, we iterate: we go back, adjust and keep moving. At the center, a measurable result; at the end, impact.
1labs / How we think
We don't apply a framework for its own sake. We take what's useful from each approach to move fast, with people at the center and decisions based on evidence.
Move forward in short, visible cycles.
Understand people before building.
Learn fast, with little, and with data.
1labs / What a work cycle looks like
Discover
Interviews, data and business context.
Define
Problem, hypothesis and success metric.
Prototype
A quick version to test the idea.
Build
AI-powered development in short releases.
Measure
Real results with real users.
Learn
We adjust and repeat with your team.
1labs / Security by design
AI makes building software faster than ever. Security has to move at the same pace: it's one of our pillars and it's built into every line of code, not bolted on at the end.
What we see today
How we do it
We model threats and define permissions, roles and data handling before writing code.
All AI-generated code goes through human review, automated analysis and testing before it reaches production.
Per-user access control, encryption, keys kept out of the code and least privilege for every service.
We work with references such as OWASP for web applications and for large language model applications.
Clear rules on what data can go to a model, which tools are allowed and who approves.
We leave procedures, checklists and training so your team keeps building securely.
1labs / What you get at the end
We work with AI models from several providers and choose the one that solves your problem.
1labs / Adoption
No organization adopts a technology all at once. The innovation adoption curve makes it clear: enthusiasts come first, and between them and the majority there's a leap —the chasm— where many AI initiatives stall. That's why adoption is designed from day one: pilots with reference users, visible success stories, role-based training and tapering support until the solution is part of daily work.
People who try AI out of their own curiosity. They are your allies for the first pilots.
Leaders who see the opportunity before others. With them we prove the first success story.
They join when they see concrete results. This is where adoption is won or lost.
They need the solution to be stable, simple and part of their daily routine.
The last to change. They need close support, not more emails.
