AI Governance
Your company is already using AI. The question is: are you in control of it?
Employees are already pasting contracts, spreadsheets and customer data into AI tools — with or without authorization. We put in place policies, technical controls and monitoring so AI is used safely, in line with LGPD (Brazil's data protection law) and at a predictable cost.
If this sounds familiar
- Sensitive data sent to AI tools without any control.
- No formal policy on what can and cannot be done with AI.
- AI subscription and API costs scattered across several departments.
- No way to answer who used AI, with which data and for what.
Active policies
14
Events today
2,318
Budget used
62%
| Time | User / agent | Tool | Data class | Result |
|---|---|---|---|---|
| 09:41:12 | ana.fin | ERP Copilot | Finance | allowed |
| 09:41:55 | joao.sales | External chat | Personal data | tax ID masked |
| 09:42:03 | agent.collections | Workflow | Receivables | allowed |
| 09:42:40 | carla.hr | Spreadsheet upload | Payroll | blocked |
| 09:43:18 | agent.tax | Workflow | NF-e XML | allowed |
What changes
Operational results, not a technology project.
AI use with clear rules
Policies approved, communicated and enforced through technical controls.
Traceability
Logs of usage, data accessed and automated decisions — ready for audit.
Costs under control
A view of consumption by department, tool and use case.
Capabilities
What's included in AI Governance.
Usage policies
Corporate AI policy, data classification and approved use cases.
LGPD applied to AI
Legal basis, minimization, masking of personal data and records of processing activities.
Access control
Permissions by role, department and data type, integrated with the company directory.
Logs and audit
Records of prompts, sources consulted, actions taken and approvals.
Monitoring
Detection of out-of-policy use, answer quality and incidents.
Cost management
Budgets, limits and AI consumption reports by cost center.
How it works
We start small, measure and scale.
- 01
Assessment
We map processes, systems and opportunities.
- Interviews with each department
- BPMN process mapping
- Hours and impact estimate
- 02
Automation
We build the workflows and AI agents.
- Rules and exceptions defined
- Agents with clear limits
- Testing with real data
- 03
Integration
We connect ERP, APIs, documents, data and systems.
- ERP connectors
- Permissions and masking
- Logs of every data exchange
- 04continuous
Operation
We monitor, improve and keep everything running.
- Monitoring and alerts
- Monthly value report
- New automations in the backlog
Applications
Where we apply it in practice.
Example scopes. The assessment defines which ones make sense for your operation.
Corporate AI policy
Policy document, risk matrix and communication plan for every department.
AI gateway
A single access point to models, with authentication, logs and masking.
AI use inventory
A map of where AI is used, with which data and which risks.
Self-assessment · 2 minutes
Assess your company's AI maturity.
Eight objective questions about policies, data, access, traceability and costs. The result appears instantly.
01Is there a formal AI usage policy, approved and communicated to employees?
02Do you know which AI tools are being used by each department?
03Is data classified (public, internal, personal, sensitive) before being used with AI?
04Is personal data masked or minimized before it reaches the models?
05Is access to AI tools controlled by role and integrated with the company directory?
06Are there AI usage logs that answer who used it, when and with which data?
07Are AI costs tracked by department or use case?
08Is AI integrated with your systems (ERP, documents) with rules and human approval for sensitive cases?
Your result
Answer all 8 questions to see your maturity level and suggested priorities.0/8 answered
Indicative self-assessment. No answers are sent or stored.
All connected
Solutions that work together.
FAQ
Frequently asked questions
Didn't find your question? Bring it to the assessment.
Is AI governance only for large companies?
No. Mid-sized companies are often more exposed, because usage grows without structure. Governance proportional to your size is simple to implement and prevents bigger problems.
Does this replace the work of the DPO or legal team?
No. We work with the DPO, legal and IT, translating requirements into technical controls and operational processes.
Do you block the use of AI tools?
The goal is to enable safe use, not to forbid it. We define what is allowed, offer controlled alternatives and monitor exceptions.
Assess your company's AI maturity.
Take the self-assessment above or book a governance assessment with our team.