Data & AI consultancy
We’re Twizi, a Data & AI consultancy. We enable your teams, shape your strategy and implement solutions that move your business forward.
Our services
Work with us on one area, or across all three. Each engagement starts with what your business needs.
01
Enablement
Help leaders, operational teams, and developers understand what AI can do—and put it into practice with their own tasks.
02
Strategy
Assess your processes, data, and readiness. Prioritise opportunities by business value, feasibility, and risk before committing to a build.
03
Implementation
Bring data together, automate manual work, and build AI tools that support better decisions. Integrate them into your existing systems.
Twizi / Our approach
Technology moves.
People decide.
How we work
We work alongside your team, with clear decisions and regular reviews. The technology serves the work you need to do.
Agree on the business problem, the people involved, and what success looks like.
Test an approach with a workshop, a focused assessment, or a working prototype.
Your experts validate the work. Important decisions stay with the people responsible.
Deliver, measure progress, and give your team the knowledge to keep moving.
In practice
Examples from our work in sports performance and insurance.
A shared view of athlete data, with AI-drafted recommendations that coaches review before changing a plan.
Training, wearable, and medical information sits across different sources, making individual plans harder to prepare.
The performance command center brings information into one place and supports plan preparation. Coaches retain the final say on recommendations. This is an active project; results are still to be measured.
An AI-assisted studio that turns source material into structured product specifications, with evidence and expert review at each stage.
Product definitions are buried in documents, databases, and old screens. Reconstructing them by hand is slow and difficult to verify.
The studio documents sources, prepares a product memo, and produces configuration and test outputs after human approval. A working application exists with demonstration data.
Additional operational proof
We separate public production, private operations, anonymised enterprise work, and prototypes. Each label states exactly what the evidence supports.
A public multilingual editorial operation with agentic workflows, human approval, tests, publishing, and monitoring. It demonstrates the complete production cycle; it does not imply equivalent results elsewhere.
View public operationA private control layer for schedules, agents, websites, analytics, and alerts. It makes operational state, exceptions, and recovery visible to the people responsible.
Governed workflows that analyse closed incidents, check open requests, and structure service feedback. The architecture and controls are reusable; the client, data, and internal instructions remain confidential.
Working prototypes for research, operations, and decision support. They demonstrate technical feasibility and control design; they are not presented as production or measured outcomes.
Let’s talk
Tell us what your team needs to learn, what you want to improve, or what you’re ready to build. We’ll help you define the next step.
A conversation about your business, in Portuguese or English.