
AI Governance Care
Monthly AI governance support: up to 3 new AI use cases or vendors reviewed, your AI register kept current and a quarterly…
As AI spreads through a company, someone has to answer simple questions. Which tools are we using? Who approved them? What are the risks, and is anyone following the policy? These governance systems set up the registers, reviews and approvals that give leadership a clear and current answer.

Monthly AI governance support: up to 3 new AI use cases or vendors reviewed, your AI register kept current and a quarterly…


Sets up AI policies, ownership, approvals and reviews across the organization.




Drafts your AI usage policy and a system to acknowledge and enforce it.

A review of up to 8 AI systems against the EU AI Act, with each classified, your role confirmed and a dated…
In practice it means a few dependable habits. You keep a list of the AI models and vendors in use, with an owner for each. You assess risk before a new use case goes live. You have a written usage policy that staff acknowledge. You approve and version models, then review them on a schedule. These products put each habit into a working system.
If you are starting from nothing, AI Governance System sets up policies, ownership, approvals and reviews across the organization in one go. Teams with a specific gap can pick a single piece. AI Model Inventory builds the register, AI Risk Assessment runs structured reviews, and AI Usage Policy System drafts the policy and the process to enforce it.
AI Model Governance suits teams that build or fine-tune their own models. AI Governance Dashboard brings inventory, risks, approvals and usage into one view for leadership. That view is often the piece boards and senior teams ask for first, because it turns scattered spreadsheets into one place to check progress.
No. These systems help you organize and run your own governance: registers, policies, assessments and approvals. They do not certify you against any standard or give legal advice. Many teams use them to prepare for audits or regulator questions, with their own legal or compliance advisers making the final judgments.
Ownership varies. Often it sits with a head of operations, risk, compliance or IT, with input from legal. The Scope Card names the roles involved, such as model owners and approvers, so responsibilities are clear from the start rather than worked out after something goes wrong.
Yes. AI Usage Policy System drafts a policy based on how your company actually uses AI, then sets up a way for staff to acknowledge it and for the rules to be enforced. Your leadership reviews and approves the wording before it goes out to the team.
Tick Compare on up to four products to see scope, price and delivery side by side. If you would rather ask, an expert can reply by email and help you pick the one that fits how you work.