Adding an approval button does not create meaningful human oversight. Reviewers must be able to understand, challenge and stop the action.
Under pressure, people tend to accept confident recommendations, especially when the queue is long and the system rarely appears wrong. A nominal review step can become automated approval with a human name attached.
What good engineering looks like
Design oversight around risk and capacity. Show the evidence and uncertainty relevant to the decision. Route unusual or high-impact cases to skilled reviewers. Give them authority to reject, escalate and improve the policy. Measure disagreement and override quality, not only throughput.
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Define which decisions require human judgement and why.
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Present source evidence, alternatives and material uncertainty.
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Limit queue size so review remains credible.
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Separate reviewers from incentives that reward automatic acceptance.
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Feed overrides and incidents back into evaluation.
A practical starting point
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Observe one review queue during a busy period.
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Measure acceptance time and override rate.
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Interview reviewers about missing context and pressure.
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Redesign the highest-risk approval step.
The decision to make
Human oversight is effective when it changes outcomes when needed, not when it merely records that a person was present.