Diagnose
ISO/IEC 42001 gap analysis, maturity diagnosis, AI inventory and mapping of ungoverned AI use.
AI governance and ISO/IEC 42001 consultancy
VGrid helps organisations structure AI management systems, define responsibilities, treat risks and keep evidence for audit and executive decision-making.
The initial conversation is used to understand context, priority and fit. Scope, timeline and investment are defined afterwards.
How VGrid works
The work combines documentary structuring, risk assessment, definition of responsibilities and internal verification, so that corporate AI use can be described, justified and audited.
Every project starts with context, AI systems in use, roles involved and decision criteria on record.
Legal, security, privacy, technology and business work from the same inventory and the same risk matrix.
System inventory, policies, risk matrix, indicators and internal audit records.
ISO/IEC 42001 and NIST AI RMF applied as structuring requirements, with a declared regulatory cut-off date.
Mapping of systems, agents, vendors and data processed, plus self-assessment questionnaires.
Periodic review, treatment of nonconformities and continual improvement of the management system.
Practice areas
Each area can be engaged on its own or in an integrated way. The starting point is always reading the context and the organisation's current stage.
Scope may include gap analysis against ISO/IEC 42001, maturity diagnosis, AI use policies, implementation of the AI management system (AIMS), integration with ISO/IEC 27001, ISO/IEC 27701 and data protection law, survey of applicable regulatory requirements, treatment of ungoverned AI use, internal audit and continuous operation. Implementation and internal audit are conducted with formal separation of roles; certification is issued by an accredited certification body.
ISO/IEC 42001 gap analysis, maturity diagnosis, AI inventory and mapping of ungoverned AI use.
Responsible AI policies, AI committee, RACI, risk matrix (NIST AI RMF and ISO/IEC 23894) and Annex A controls.
Practical AIMS implementation led by an ISO/IEC 42001 Lead Implementer, integrated with ISO/IEC 27001, ISO/IEC 27701 and data protection law.
Preventive alignment with the EU AI Act and pre-compliance with the Brazilian AI bill (PL 2338), with documentation and evidence.
Internal audit, control assessment and readiness assessment led by an ISO/IEC 42001 Lead Auditor, ahead of certification.
Governance operated continuously: indicators, AI incidents, AI literacy, vendor due diligence and regulatory change.
The same method organises AI governance, ISO/IEC 42001, AI security and AI compliance projects, from the initial survey to periodic review.
See the method in detailDiagnosis of real AI use, data, vendors, risks and regulatory exposure.
Risk, criticality and impact matrix: where to govern first, with clear criteria.
Policies, controls, roles, committee, inventory and evidence in operation.
Oversight routine, indicators, internal audit and continuous risk management.
Growing maturity aligned with ISO 42001, NIST AI RMF and regulatory change.
Practice areas, ISO/IEC 42001, applicable regulatory requirements and ways to start.
Testimonials
Real testimonials published anonymously, as an editorial decision and out of respect for confidentiality agreements. Identification by function and sector only.
“The structuring gave us an inventory of AI systems, a use policy and a risk matrix that the board is able to read and discuss.”
Technology Directorate · Hospitality
“The most useful point was separating what was a normative requirement from what was an internal decision. That reduced discussion and accelerated approval.”
Legal and Compliance · Corporate education
“We now have a record of who approves each AI use, with evidence for internal audit and for clients that request such proof.”
Information Security Management · Technology services
“The assessment identified AI uses that had not been mapped and defined clear criteria to authorise or block each tool.”
Executive Directorate · Industry and distribution
There is no correspondence between the logos displayed and the accounts published. Logos and testimonials are presented independently.
Describe the objective, the current stage and the main urgency. VGrid uses this information to assess fit and suggest the next step.