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Modular AI governance platform

AI governance connected to your organisation’s context.

VGrid.ai connects the inventory of uses, risks, obligations, controls and evidence. Modules are enabled according to each organisation’s needs, for teams that develop AI and those that adopt third-party solutions.

Explore the relationships

A use, a control, a piece of evidence.

Choose a point to illuminate its path through the scene. The same movement as the opening guides this exploration.

AI use. The starting point: a concrete AI application, with a stated purpose and someone accountable for it.

Illustrative example of governance relations. It is not customer data.

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 priorities
03AI 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.

03 / EVIDENCE

Decisions change. Their history stays.

Evidence needs context: what was reviewed, by whom and in which version. Explore the layers of a single record.

Illustrative scenario · fictional data

Evidence archive
Record 003Version 01
Context of use

Purchasing agent · purpose and owner

CPProcurement team
Select a layer to read its relationship.01/ 04

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.

01

Business

Purpose, affected people and accountability for the use.

02

Governance and legal

Obligations, risks, criteria and documented decisions.

03

Technology and security

Components, controls, assessments and technical evidence.

04

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 traceabilityAssessments and agentsIntegrations 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 use

Purchasing 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 → evidence

04 / APPLICABILITY

Different references. Meaningful relationships.

Connect the context of use to relevant references. Standards, frameworks and legislation play distinct roles in governance.

Illustrative scenario · fictional data

Applicability map
ApplicabilityISO/IEC 42001

AI management systemRoles, review and management system records.

Manual exploration01/ 04

Connections are illustrative. Applicability requires case-specific assessment; this does not represent certification or automatic compliance.

Context, 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.

Applicability requires contextual analysis. The platform does not issue certification or guarantee automatic compliance.Explore VGrid consulting and education

FREQUENTLY 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.

  1. Your context

    Share the challenges and AI uses you want to govern.

  2. The platform

    See how modules, controls and evidence connect.

  3. Next steps

    Discuss the scope of your operations with VGrid.

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