60 report cards. 4 minutes. AI drafted the comments.

Exam management in Pakistani schools involves a chain of manual steps that each carry error risk: scheduling date sheets in Excel (and re-printing when dates change), generating admit cards by hand, managing seating plans on paper, collecting marks entry from 15 different teachers on paper slips, calculating results manually with grade cutoffs, and typing out teacher comments on each report card. In a 300-student school with 3 terms per year, this process consumes 15–20 working days annually — days spent on data entry, not on teaching.

Kliovo Edu's exam module handles the full cycle digitally. A date sheet is created in the system, rooms and invigilators are assigned, seating plans are auto-generated and exported as PDFs for display, and admit cards are generated per student in bulk. Teachers enter marks directly in the app — no paper collection, no risk of lost mark sheets. Results are calculated instantly against your configured grading scale (Matric, Cambridge IGCSE/A-Level, or fully custom). The class position, subject pass/fail rates, and grade distributions appear automatically.

The AI-drafted teacher comments feature alone saves most academies 8–12 hours per term. Writing individual comments for 60 students — 'Hasan has shown improvement in Mathematics but needs to focus on Urdu grammar' — takes a class teacher a full afternoon. ovo AI drafts a personalized comment for each student based on their actual result data. The teacher reads it, adjusts if needed, and approves. The whole batch takes 20–30 minutes instead of 4 hours. Report card PDFs are then generated in bulk — 60 cards in 4 minutes — and can be either printed or WhatsApp'd directly to parents.

Class Tests (CTs) are kept completely separate from terminal exams and never appear on report cards. This is a specific design choice for Pakistani academies where CTs are used for internal tracking only. Parents see clean report cards with terminal results only. The CT scores still feed into the Dropout Prediction engine as behavioral indicators — a student who is declining in CTs across September and October will be flagged before the terminal exams reveal the problem publicly.