University Examination Evaluation AI Compiler
Evaluation TAT down from 20+ days to 10 days — 98% accuracy, 100% ring-fenced.
The problem
A US university group was manually compiling 40 student answer sheets under a unique bar code per examination, with multiple handoffs in sorting and evaluation before reaching faculty evaluators. Total turn-around-time exceeded 20 days. Manpower costs were high, rework was significant, and the privacy/security bar made standard intelligent-automation platforms a non-starter.
The system we built
A lightweight-ML MLOps pipeline deployed inside a 100% ring-fenced TerraEdge AI framework — ensuring complete privacy and governance through the evaluation process. Each bar-coded first-page student ID anchors a single consolidated assessment file covering all AI-generated answer-sheet outputs, giving faculty a single view of every submission.
What this means commercially
Examination TAT drives student satisfaction, faculty utilisation, and accreditation evidence at the same time. Halving the TAT (20+ days → 10 days) while cutting operational cost 48–50% turned a back-office bottleneck into a competitive admissions story. The 100% ring-fenced deployment cleared the privacy and governance constraints that had blocked every prior automation attempt — the value gain came without the trade-off.
The outcome
Other systems we've shipped.
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Not ready for AI yet? Want to chat about possibilities?
No pitch, no pressure. Just a conversation about where AI could fit, or where it can wait. Bring your skepticism — we'll bring ours.
Can we reproduce this outcome on your data?
A 4-week POC with signed KPIs. If it clears, we scale. If it doesn't, you keep the architecture blueprint.