AI Governance, Data Access, and Quality Assurance

The policy identifies approved tools and accounts, permitted information, source ownership, retention requirements to review, and the review needed before an output is used. Personal accounts and managed business environments need separate assessment.

We work with your IT and security teams to document those requirements. Legal and regulatory interpretations remain with the organization’s qualified advisers. Configuration work can support a requirement, but it does not establish a blanket compliance guarantee.

A permissions test checks whether users can retrieve only the information allowed by the intended workflow. A quality test checks accuracy, relevant evidence, missing information, and the consequences of an incorrect answer. Tests should include restricted content and contradictory source documents.

We define when a system should ask for clarification, decline an action, or route work to a reviewer. Important outputs need traceability to source material where the application supports it. An answer that sounds confident still needs the appropriate validation.

AI services, models, source documents, and connectors change over time. The operating plan assigns ownership for permissions, test cases, updates, incident handling, and periodic review. Changes to a critical workflow should be evaluated before wider use.

XL AV can scope policy workshops, access review, evaluation design, and operating documentation. Handover identifies the configuration owner, approved integrations, known limitations, and the steps to suspend or restore the workflow.