Data and AI governance
Data and AI governance means defining who can use each piece of data, what AI is allowed to do and how everything is recorded. It is what lets a company expand its use of AI without increasing risk.
Rules that work day to day, not just on paper.
What is it?
It is the set of rules, roles and controls that says where each piece of data comes from, who can use it and what each AI model or agent is allowed to do.
Why does it matter?
Without rules, each department uses AI its own way, sensitive data moves around without control and no one can explain a decision when it is challenged.
How does it work?
We catalog the data, assign owners and policies, set up a pipeline to approve AI initiatives and record what each model and agent does.
What changes?
The company knows what it has, decides faster what can go into production and can show auditors and customers how it uses data and AI.
The same request from a department, with and without governance.
Today
After
Approval takes days, not months — because the rules are already in place before the request.
Where this fits: this solution is part of the Security and governance front, alongside cybersecurity. The limits of each agent are detailed in governance and limits.
“People already use AI tools without the company knowing which ones.”
“No one can say who owns each piece of data.”
“Each AI initiative is approved a different way — or not approved at all.”
“When a customer asks how the AI made a decision, there is no answer.”
Rules, roles and tools to use data and AI safely.
A catalog of what exists, an owner for each piece of data, measured quality and clear access rules.
Also known as: Data Governance · catalog and lineage
A single path to propose, assess, approve and track each AI initiative.
Also known as: Corporate governance of AI initiatives
Model evaluation, limits for agents and a record of every agent action.
Also known as: AI Governance · Safetix
Finding out which AI tools are in use and bringing them under the rules.
Also known as: Shadow AI
Personal data handled in line with the LGPD, Brazil’s data protection law, with the evidence organized.
Also known as: Data Protection · LGPD
63%
of organizations have no governance policies for AI and unauthorized AI use
Source: IBM
73%
of companies struggle to prepare their data for AI
Source: HBR Analytic Services · McKinsey, State of AI 2025
Aligned with ABRIA
Semantix contributed actively to the debate on PL 2.338/2023, Brazil’s main AI regulatory framework, aligned with ABRIA, the Brazilian Artificial Intelligence Association.
So what does this mean? That our AI operates within the law and corporate ethics, with:
AI itself helps with governance: it classifies sensitive data, checks whether model answers follow the rules and records every agent action.
Where to start
We map the data, the AI tools in use and the current rules, and deliver the policies and approval pipeline ready to adopt.
Request the assessment →From discovery to ongoing control.
We find out what data exists, where it is and which AI tools are already in use.
Access policies, owners for each piece of data and criteria for approving an AI initiative.
A single path to propose, assess risk, approve and track each initiative.
Limits for agents, model evaluation and a record of every action.
We review the rules as the company, the law and the technology change.
People in control
You decide how much autonomy each process has. Agents handle the volume; people keep control of the decisions.
The person decides and acts
For new or high-risk processes: the agent prepares the analysis and the recommendation.
Approval by authority level
Actions with impact wait for approval from whoever holds the authority before moving on.
Exceptions go to the specialist
Standard cases follow defined rules and amounts; anything outside the rules goes to a person.
Specialists follow up
Samples and indicators are reviewed, and every human decision becomes a rule for the next cases.
At every level, what the agent executed and what the person approved is traced. The autonomy level of each process is defined with you and changes as the operation earns trust.
Catalog and data platforms where we have certified teams, plus Safetix, part of the Semantix AI Suite.
Technologies in the Semantix ecosystem. Display of partner brands is subject to authorization.
Professional layer
Data catalog, lineage and quality · data ownership and stewardship · access policies and sensitive data classification · committee and approval pipeline for AI initiatives · model evaluation and guardrails for agents · logging and auditing of actions · LGPD compliance.
We call this Data Governance and AI Governance. The suite component that governs, evaluates and records what AI does is Safetix.
Frequently asked questions
The opposite. Without defined rules, every request is debated from scratch. With the pipeline in place, an AI initiative is assessed and approved in days, and risky ones are stopped before they cause problems.
It is the use of AI tools without the company knowing — for example, copying customer data into a public assistant. The first step is to find out what is in use and offer safe alternatives.
Data governance covers where each piece of data comes from, who owns it and who can use it. AI governance covers what models and agents can do with that data. Each depends on the other.
Yes. Knowing which personal data exists, who accesses it and why is the basis for complying with the LGPD and answering requests from data subjects and auditors.
This service is part of a single operating model, with AI agents and specialists on the Semantix AI Suite. Decisions made here feed your company’s shared context and make the other operations smarter.
Agents on the volumeSpecialists on judgmentFrom platform to operations
One context for your companyEvery operation feeds the same context and runs on the same foundation: the Semantix AI Suite and Brazilian governance.Explore Semantix AI Suite →Connect · Operate · Learn · Orchestrate