Decision guide
AI Governance Operating Model: Practical Components
What an enterprise AI governance operating model should cover from inventory through monitoring.
Key principles
Governance should identify what AI exists, who owns it, what data it uses, what risk it creates and how it is reviewed.
Approval should be proportionate to the materiality of the use case.
Monitoring, incidents and change control matter after launch; governance is not only a pre-launch checklist.
Decision checklist
✓ AI inventory and ownership
✓ Risk classification and decision rights
✓ Human oversight
✓ Vendor/model diligence
✓ Evaluation and evidence
✓ Monitoring, incidents and periodic review
How DataLgorithmics approaches the decision
Define the operating problem, identify the evidence required, compare realistic options, establish success and control criteria, and make the smallest justified investment that can answer the decision.