AI Governance

Govern AI by use case, risk, data and autonomy—not by model name alone.

AI governance should cover internal AI use, client AI delivery and third-party AI vendors.

01Governance structure

Executive Owner: To be confirmed
Risk Owner: To be confirmed
Technical Owner: To be confirmed
Review Forum: To be confirmed

02AI system inventory

Fields: Use case
Owner
Model/provider
Data categories
Users
Tools/actions
Risk tier
Evaluation status
Production status
Review date

03Review triggers

New AI vendor
New production AI use case
Sensitive/personal data use
AI agent with external actions
High-impact decision support
Material model/provider change
Security/privacy incident
Significant evaluation regression

04Governance controls

Use-case approval
Vendor due diligence
Data-access review
AI threat model
Evaluation
Human oversight
Tool/action permissions
Logging/auditability
Cost monitoring
Incident response
Periodic review

05Standards and frameworks

Recognized AI risk-management standards can be considered where appropriate. Do not claim ISO/IEC 42001 certification unless formally certified and scope is verified.

This document is a draft framework provided for review. It is not legal advice, and it must be confirmed against actual Fuchsius operations and applicable law before publication.