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Assign approval requirements according to each use’s: Which approval distinction is decisive?

AIGP Understanding the Foundations of AI Governance Medium

Approval intensity should follow the use case’s impact, context, evidence, and residual risk—not vendor status.

The question

An insurer uses one AI system to prioritize routine claims and another to recommend investigation of suspected fraud. Both use vendor models, but the second can trigger costly claimant scrutiny. Which approval distinction is decisive?

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  1. Assign approval requirements according to each use’s impact, context, evidence, and residual risk.
    Risk-tiered governance differentiates controls based on consequences and uncertainty, while considering evidence, responsibilities, and remaining risk.
  2. Approve the routine tool with less documentation because claims are operational.
    Operational use can still create material risks, so reduced documentation cannot be justified solely by routine workflow placement.
  3. Approve the fraud tool only after confirming its accuracy benchmark.
    Benchmark evidence matters, but approval also requires contextual risk analysis, responsibilities, limitations, and monitoring arrangements.
  4. Approve both through the same workflow because both are vendor systems.
    Common procurement status does not erase differences in impact, uncertainty, affected people, or required review intensity.
The trap
Tier the deployment, not merely the technology or supplier; consider affected people, consequences, evidence, and residual risk.

How to remember it

Approval intensity should follow the use case’s impact, context, evidence, and residual risk—not vendor status.

How many of these would you get right?

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