Skip to content

Tavryqen Knowledge Center

AI Use-Case Approval Records: A Lightweight Governance Template

A lightweight governance approach for documenting why an AI use case exists, what it may do, who owns it, and what conditions require review or suspension.

Shamar Bennett August 21, 2026 Updated August 21, 2026 Reviewed 2026-08-21 Version 1.0 2 min read

A useful AI approval record does not need to become a large policy document. Its purpose is to preserve the decisions that define an approved use case: why it exists, what data it uses, what it may do, who is accountable, and what would cause the organization to review or pause it.

Record the purpose and owner

State the business problem, intended users, accountable business owner, technical owner, and the system or model involved. A use case without a named owner is difficult to govern when conditions change.

Define the approved boundary

Describe permitted inputs, outputs, connected systems, actions, user groups, and environments. Also record prohibited uses so an approval for one workflow is not treated as permission for unrelated activity.

Document consequence and human oversight

Identify whether outputs can affect people, access, money, employment, safety, legal rights, regulated activity, or other higher-consequence outcomes. Define where a qualified person must review, approve, correct, or escalate rather than allowing the AI-enabled process to make a determination outside its authority.

Capture data and security conditions

Record relevant data classifications, access controls, retention expectations, integration permissions, logging, and vendor considerations. Link to specialist assessments when privacy, security, legal, compliance, safety, or other professional review is required.

Set review and pause triggers

Examples include a material model or vendor change, new data sources, expanded permissions, a new affected population, repeated control failures, a significant incident, or use outside the approved boundary.

Keep the record current

Approval is not permanent evidence that a use case remains appropriate. Review the record when the system changes and at a cadence proportionate to its consequence and operating environment.

Related knowledge

Use this guide with AI Incident Escalation, AI Risk Classification, Human Review Models for Automated Decisions, and AI Change Management.

References

This resource supports operational governance. It is not legal, regulatory, clinical, financial, employment, safety, or other professional advice, and it does not replace review by qualified specialists where required.

Put the guidance into context

Considering automation for your organization?

Tavryqen can help you examine the process, operational goals, security considerations, and governance boundaries before you decide what should be automated.

About the author

Shamar Bennett

Tavryqen authors contribute practical perspectives on responsible AI, automation, security, and technology transformation.