Ownership
Name the business owner, technical owner, risk owners and the people authorized to approve deployment, change and retirement decisions.
RESOURCE · CHECKLIST
AI governance checklist.
A practical control checklist for making ownership, evidence, permissions and human accountability visible across the AI lifecycle.
Data and access
Document approved data sources, access boundaries, retention expectations, sensitive information handling and integration permissions.
Evaluation
Define test sets, acceptance criteria, known limitations, quality thresholds and conditions that require human review or rejection.
Operations
Plan monitoring, incident response, change control, audit evidence, escalation and periodic reassessment after deployment.
CONTROL QUESTIONS
Minimum governance questions to make explicit.
- Who is accountable for the business outcome and system behavior?
- What data and actions are explicitly allowed or prohibited?
- How is quality evaluated before and after release?
- Where is human approval mandatory?
- How are incidents, overrides and material changes recorded?
- When must the system be paused, rolled back or reassessed?
This checklist is general decision support. Applicable legal, regulatory, privacy and security obligations should be validated with the responsible qualified owners for the relevant market and sector.
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