AI Governance Systems
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.
Products in this category
-
-
GovernanceAI Governance System
Sets up AI policies, ownership, approvals and reviews across the organization.
-
-
-
-
GovernanceAI Usage Policy System
Drafts your AI usage policy and a system to acknowledge and enforce it.
What does AI governance actually involve?
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.
- A register of models, vendors, owners and uses
- Structured risk assessment per use case
- A usage policy with acknowledgement
- Model approval, versioning and review cycles
- One dashboard for inventory, risk and approvals
Where should you begin?
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.
Questions buyers ask
Is this a certification or legal compliance service?
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.
Who in the company usually owns these systems?
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.
Can the usage policy be tailored to our company?
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.
Choosing between Governance products?
Tick Compare on up to four products to see scope, price and delivery side by side. If you would rather talk it through, an expert can help you pick the one that fits how you work.