Business
Purpose, affected people and accountability for the use.
AI GOVERNANCE PLATFORM
Your AI evolves.
Governance keeps pace.
Move beyond spreadsheets and run AI governance in a modular platform. VGrid.ai connects uses, risks, controls, evidence and decisions so your team can operate and improve.
Connected modules. Enabled around your needs.
Automatic journey
01Contract assistant
Context not linked01 / 05
Move your pointer. Explore the connections.
AI uses
Start with the use.
Applications, models and agents across your organization. Start by understanding where AI is involved in the work.
Fictional data. Example of a governance journey.
THE GOVERNANCE MESH
Every decision has
a verifiable story.
Connect an AI use to what matters: obligations, risks, controls and evidence. Walk through an example of how these relations support a decision.
AI use
It all starts with a purpose.
Purpose, accountable team, affected people, data and vendor give context to the assessment.
ILLUSTRATIVE EXAMPLEContract reading assistantIt does not represent customer data or a real assessment.
Product view
VG · DEMO / 001From use to decision
- ✓AI use
Contract reading assistant
- 02Obligation
Not linked yet
- 03Risk
Not linked yet
- 04Control
Not linked yet
- 05Evidence
Not linked yet
- 06Decision
Not linked yet
- 07Review
Not linked yet
Decision
Under review
Link records and tests to decisions. A change in use means revisiting evidence and reviewing conditions.
Fictional data. Example of a governance journey.THE VGRID.AI PLATFORM
Five core modules.
One connected view.
Bring teams together around the same context. AI governance, security and compliance modules are enabled according to each organisation's needs and agreed scope.
Overview
See where attention belongs.
A view that connects governance priorities, owners and open items.
VGrid.aiProduct view · Illustrative scenario
Governance priorities03AI uses
01Review
02Owner assigned
Fictional data. Example of a governance journey.
- Uses and owners
- Risks under analysis
- Decisions and reviews
From scattered information to the next decision.
Illustrative module views. Enablement considers each organisation's needs, access and agreed scope.
CONTINUOUS GOVERNANCE
One platform. A living system.
Every AI use gains context. Every decision leaves evidence. And every change begins a new assessment of risk.
Automatic cycle
01 / 06
It begins with a known AI use.
Purpose, ownership and context create the first connection. The inventory gives an identity to the AI use being followed.
Illustrative flow. Modules and journeys are configured for each client’s context.
BRAZILIAN CONTEXT · ENTERPRISE VIEW
AI runs across the company.
So does governance.
For organisations that build AI and for those that use third-party tools. The starting point is understanding the use, even without access to the vendor's code.
Governance and legal
Obligations, risks, criteria and documented decisions.
Technology and security
Components, controls, assessments and technical evidence.
Leadership
Priorities, decisions and follow-up across teams.
FROM IMPLEMENTATION TO CONTINUOUS OPERATIONS
Governance in-house. Less manual work.
Bring inventory, assessments, controls and evidence into the platform instead of managing them across spreadsheets, documents and manual coordination. Run the routine with your team and involve specialists where they add value. Modules are defined around your scope.
Context and traceability→Assessments and agents→Integrations and monitoring
GOVERNANCE IN MOTION
Context changes. Accountability remains.
Connect authority boundaries, change signals and reviews. Every new decision informs the next governance cycle.
AUTHORITY AND ACCOUNTABILITY
Autonomy with accountability.
Connect what an agent may do to its owner, operating conditions and oversight.
Procurement · use owner
Who owns the usePurchasing agent. Procurement owns the purpose, conditions and review of this use.
Illustrative scenario · fictional data
CONTINUOUS GOVERNANCE
One change has an impact. Review follows.
See how a new model version connects to controls, owners and evidence.
Baseline recorded01 / 04
The relationships are recorded.Model v1, human review and an associated test form the context of this use.
Governance simulation
New version → control → review → evidenceContext, controls and evidence
Different references. A connected view.
Connect applicable requirements to the context of use, controls and evidence. Standards, frameworks and legislation serve different purposes.
ISO/IEC 42001 AI management systemISO/IEC 23894 Guidance on AI risk managementNIST AI RMF AI risk management frameworkEU AI Act European AI regulation
Applicability requires contextual analysis. The platform does not issue certification or guarantee automatic compliance.Explore VGrid consulting and educationFREQUENTLY ASKED QUESTIONS
Clarity from the start.
What is the VGrid.ai platform?
VGrid.ai is an enterprise platform for AI governance, security and compliance. It connects an inventory of AI uses, owners, risks, controls, evidence and decisions in a shared context. Its modular structure follows each organisation's scope and needs.
How does the platform differ from VGrid consulting?
VGrid.ai is the software for running AI governance within your organisation. The institutional VGrid site, vgrid.com.br, covers consulting, specialist support and training. The client team can adopt the platform; specialist services are defined according to the project’s needs.
How are modules enabled?
We start with your organisation's needs and AI uses. From that context, we define the modules, access, integrations and responsibilities within the agreed implementation scope.
Does it serve organisations that use third-party AI?
Yes. The concrete use — its purpose, affected people, data and owners — is the starting point, even when the organisation does not build the model.
Does the platform replace human decisions?
No. VGrid.ai organises context, evidence and traceability to support the people who assess, decide and review, within their authority.
How are bias assessments and agents handled?
The scope starts with the specific AI use, its impacts and the authority granted to the agent. Assessments require suitable data, defined criteria and specialist review. Technical controls require the corresponding access and integrations.
Can VGrid.ai replace work done in spreadsheets?
VGrid.ai brings inventory, owners, assessments, controls and evidence into connected records. Your team can run routines that currently depend on spreadsheets, documents and manual consolidation within the platform, retaining a history of decisions and reviews.
Do I need to hire a consultancy to use the platform?
An organisation can adopt the platform with its own team, which takes responsibility for running its governance programme. The need for external support depends on maturity, the complexity of AI uses and the expertise available for implementation and specialist assessment.
How do consultants and partners work with VGrid.ai?
Consultants and partners can use the platform as the operational foundation for projects, bringing together context, assessments and evidence with the client team. Specialist work can then focus on methodology, analysis, training and programme development.
VGRID.AI · DEMO
See AI governance in your context.
Tell us what your company needs. We will arrange a VGrid.ai demonstration to discuss your operations.
Your context
Share the challenges and AI uses you want to govern.
The platform
See how modules, controls and evidence connect.
Next steps
Discuss the scope of your operations with VGrid.
Book a demo
VGrid.aiThe vocabulary of AI governance, explained plainly.
Reference pages on the topics an AI governance programme rests on — from the inventory of uses to the international standard and the regulatory landscape.
AI governance
AI governance is the set of roles, criteria, controls and records that lets an organisation know where artificial intelligence is used, which risks and obligations each use carries, and who decided what.
Read the topic →AI governance platform
An AI governance platform connects uses, owners, risks, controls, evidence and decisions in continuous workflows.
Read the topic →AI governance tools
To choose an AI governance platform, compare how much recurring work your team can execute in it: inventories, assessments, plans, controls, evidence and reviews.
Read the topic →AI compliance
AI compliance is the practice of showing that each use of artificial intelligence meets the internal, contractual and regulatory obligations that apply to it — with evidence that can be produced when asked.
Read the topic →AI security
AI security covers the technical and organisational risks specific to AI systems — prompt injection, data leakage through model inputs, poisoning, model and output manipulation, excessive agent permissions — plus the controls and oversight that keep those risks within accepted limits.
Read the topic →ISO/IEC 42001
ISO/IEC 42001 is the international standard for an AI management system (AIMS).
Read the topic →ISO 42001 implementation
Implementing ISO/IEC 42001 means establishing and maintaining an AI management system.
Read the topic →AI regulation
AI regulation is converging on a risk-based approach: duties scale with the impact of the system, affected people gain rights of information and contestation, and providers and deployers hold distinct obligations.
Read the topic →Brazil AI law (PL 2338)
PL 2338/2023 is the bill proposing a general framework for the development and use of artificial intelligence in Brazil, with a risk-based approach, rights for affected people and governance duties for those who provide and those who operate AI systems.
Read the topic →AI use inventory
An AI use inventory is the record of every use of artificial intelligence in an organisation — built in house or contracted — with the purpose, the data involved, the people affected, the degree of automation and an accountable owner.
Read the topic →AI risk management
AI risk management is the cycle of identifying, assessing, treating and reviewing the risks of each AI use, with criteria defined in advance, controls proportional to impact, named owners and dated evidence.
Read the topic →