Manual evaluation of subjective scripts is slow, hard to audit, and produces errors that only surface after results are published — at which point every correction triggers a revaluation cycle.
Examiner moves the whole process on-screen while keeping the evidence trail intact.
What the AI actually does
OCR-on-scan makes handwritten scripts searchable and assists the examiner rather than replacing their judgement. Blank-page detection removes the dead weight from evaluation queues. Part-question mark segregation ensures marks land against the right sub-question, which is where a large share of manual tabulation errors originate.
Integrity
Scripts are encrypted, examiner identity is verified by facial recognition at login, sessions can be proctored, and every mark carries an audit trail back to the evaluator who entered it and when. Examiner-effort tracking gives the controller a live view of who is on schedule.
Source note. The Examiner deck supplied is an image-only PDF, so this page was written from the company brochure. Have the product team verify the capability list before publishing.