Staff review consistently monitored for quality.
Staff review is how it is done today, and that continues with the introduction of AI. With Countersign the staff review is directed based on risk assessments; with Countercheck the quality of that staff review is measured and monitored. AI platforms typically include a person’s review — but can they show it still means anything six months in, when volumes are high, drafts are usually right, and attention is fading? Countersign treats review quality as a system property: calibrated, measured, and evidenced.
Research on human–AI oversight is consistent: when AI is usually right, people stop checking. There is a temptation to easy-click approve when there isn’t the immediacy of line-manager review.
Don't assume vigilance — allocate it. Risk-tiered queues, capped volumes, friction where stakes are high, and continuous measurement of whether review is still working.
Release is governed by your risk framework, enforced in the database. Countercheck completes the control: the reviewing half is measured with the same discipline as the model half — which is GoldenEval.
Measured, not assumed.
Countercheck measures the review process, never individual performance as a product purpose: team-level by default, individual data role-gated, no league tables. GoldenEval watches the models; Countercheck watches the reviewing.