Assessment governance
FirstProof Perspective
Human Oversight in AI-Assisted Assessment
Where structured automation helps and where professional judgement should remain visible.
Executive summary
Design human oversight into the assessment workflow from the beginning rather than adding an informal review after automated processing.
Key insights
What decision-makers should retain
Automation can support consistent delivery, evidence organisation and defined assessment logic.
Human review is important where context, nuance and consequential judgement shape the outcome.
The operating model should make review checkpoints and decision ownership explicit.
Assessment methodology
From criteria to a readiness signal
FirstProof treats assessment as an evidence system. Each stage exists to make the final judgement more consistent, reviewable and useful.
01
Criteria
Define what matters
02
Scenario
Create relevant context
03
Evidence
Make capability visible
04
Review
Apply governed judgement
05
Readiness Signal
Support the decision
The design question
Which parts of assessment benefit from consistency, and which require accountable interpretation?
Design human oversight into the assessment workflow from the beginning rather than adding an informal review after automated processing.