AI governance
Use AI securely, without stalling innovation.
Teams already use AI, with or without policy. AI governance is knowing where it is, what data it receives, who's accountable for each use and how to prove it to a customer, auditor or regulator.
The problem
AI without rules exposes data and creates LGPD risks.
AI tools adopted without rules expose customer data, generate decisions without justification and create LGPD risks. Banning everything doesn't work either: use goes underground.
What we deliver
Control without red tape.
AI use inventory
What's already being used, by whom, with which data.
Usage policy and risk classification
What's allowed, what needs approval and what's forbidden.
Technical controls
Logging and audit trails, human review for sensitive decisions, control of what's sent to models.
Regulatory preparation
Alignment with LGPD and discussions of AI legal framework in Brazil.
How we work
Four steps, from idea to operating system.
Assessment
We assess feasibility, data, risks and architecture.
Proof of concept
We validate the solution with real data.
Production
We build, integrate and put it into operation.
Evolution
We monitor, tune and add capabilities.
Who it's for
For companies that process personal data at scale.
✓ Para empresas que
- Companies in regulated sectors.
- Companies that process personal data at scale and want to expand AI use responsibly.
Frequently asked questions
Common questions about AI governance
What is AI governance?
It's the set of policies, roles and controls that define how the company uses AI: which uses are allowed, with which data, who approves and how each use is monitored and audited.
Does my company need AI governance?
If employees use AI tools with customer data or if AI participates in decisions, yes. The scale of governance matches the risk.
Does AI governance relate to LGPD?
Yes. Personal data sent to AI models is subject to LGPD: legal basis, purpose, security and transparency.
Do you also implement the controls?
Yes. Beyond the policies, we build the technical controls: logging, human review, data filters and monitoring.
Read also
Start with the Assessment.
Before you invest, find out whether the idea is feasible, what it costs and what the path is.
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