Results land while the unit is still fresh. Fewer chase-ups from students, fewer overdue-marking escalations to you, resubmissions handled inside the term.
11¼ minutes saved per script is 187 trainer-hours per 1,000 scripts. At $60 an hour that’s about $11,250 of marking labour, against 9.2 cents a script in AI cost.
WORKED EXAMPLE FROM THE MEASURED BATCH · METHOD HERE
The same guide, applied the same way, whoever marks and whenever they mark. Feedback quotes the evidence, so every judgment arrives already defensible at validation.
When each assessor covers three times the scripts, the marking calendar stops deciding how many students you can enrol. Take the next cohort with the team you have.
Unpaid evenings of marking are what wears good trainers down. Hand them back and you keep the people you spent years developing.
It has significantly reduced my marking time and workload while helping me maintain consistent, quality feedback for students.”
Speed usually costs quality. Here it buys it: every student gets specific, evidence-quoted feedback instead of whatever a tired assessor had left at 11pm, and a named person still makes the call.
Ticks sit where the evidence sits, and comments quote it. A validator can trace any outcome back through the document.
Apollo prepares; a person decides and signs. The judgment sits exactly where the Standards for RTOs put it.
The unit audit reads your assessment tools against the training package and flags gaps before an auditor does. See the unit audit →
If your scope leans on knowledge evidence and written tasks, Apollo earns its keep. It marks against your instruments as they are.
Where it doesn’t fit: arts and creative-practice assessment. Judging creative work should stay with people. That is where we draw the line on AI.
Your SMS, LMS and templates stay exactly as they are. Apollo takes the export and returns marked documents.
A desktop install on each assessor’s machine, about ten minutes each, connected to your organisation’s own AI account.
One licence per organisation plus AI usage at cost on your own account. No per-learner fees, no margin on tokens, quoted to your size. See pricing →
No server, no submissions database, nothing retained after sign-off. The data-handling page is written for your compliance officer. Your data →