AI Governance
Five pillars for AI that passes an audit
AI platform and services
AI leadership for your executive team, without a full-time hire.
An AI executive and a delivery team to take AI out of the pilot stage and into production.
Companies don’t need more pilots. They need an owner.
Pilots that never reach production
Projects start and never make it into operations.
AI without control
Each department uses its own tool, with no common rules.
Nobody owns the outcome
No one is driving the AI agenda with leadership.
What you get
A prioritized AI plan
Value, risks and data readiness.
One use case in production
In the real workflow, with monitoring and human review.
Executive cadence
Metrics and decisions with leadership.
Board agenda
What is in production, what is next, and the risks.
AI usage rules
What the company can and cannot do with AI.
How we work
- 1. AssessmentValue, risks and data readiness. The output is a prioritized plan.
- 2. Proof of value in productionOne use case running in the real workflow, with monitoring and human review.
- 3. Executive follow-throughOperating model, metrics and new initiatives in production.
Who decides: Priorities, budget and risks remain leadership’s decision.
Who it is for
Board and leadership
An AI agenda with clear priorities, risks and results.
CTO and CIO
AI leadership working alongside the technology team.
CFO
AI investment tied to measured results.
Why VEX
Governance built into the product
Every decision on record
With author, time and source document.
Human review where judgment is needed
The AI recommends or organizes; a person decides.
Built on the principles of Brazil’s LGPD
Role-based access and only the data the process needs.
Frequently asked questions
Is it one person or a team?
An AI executive who owns the agenda, backed by a VEX delivery team.
Does it replace the CTO?
No. It works alongside technology leadership, focused on AI in production.
Does VEX choose the tools?
We recommend with evidence. The choice is the company’s.
How do we start?
With the assessment: value, risks and data readiness.