AI systems inventory
Survey of the systems in use, their owners, purpose and the data involved.
Experience
Experience in AI governance, security and privacy engagements.
Part of VGrid's work is subject to confidentiality. For that reason authorised logos, testimonials and experience are presented separately, without indicating which organisation provided each account.
Why does VGrid not publish named case studies with percentages?
A case study is only published when the organisation authorises it in writing and when it is possible to describe the initial context, scope, activities, deliverables, period and confirmed outcome, including the limits of what was observed. Until those fields are approved the content stays unpublished. VGrid does not publish result percentages, organisation names without trademark permission, sector or size descriptors beyond the approved ones, or any link between an anonymous account and a specific logo.
Organisations we have worked with
Testimonials
Accounts from organisations we have worked with.
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.
Deliverables that have been part of engagements
Examples of artefacts produced in AI governance projects.
AI use policy
Document setting out acceptable uses, prohibitions and the authorisation flow.
Risk matrix
Identified risks, assessment and associated controls, in a format the board can read.
Separation of normative requirement from internal decision
Explicit distinction between what the standard requires and what is the organisation's own choice.
Register of owners and approvals
Evidence of who approved each AI use, available for internal audit and client due diligence.
Criteria to authorise or block tools
Objective rules for assessing AI tools before adoption.
How we publish case studies
A case study is only published when the organisation authorises it in writing and when initial context, scope, activities, deliverables, period and confirmed outcome can all be described, together with the limitations of what was observed. While those fields are not approved, the content remains unpublished.
We do not publish result percentages, organisation names without trademark permission, sector or size descriptors beyond the approved ones, or any link between an anonymous account and a specific logo.
Describe your organisation's context
Tell us the objective, the current stage and the main urgency. VGrid assesses fit and indicates the next step.