85% Reduction in Assessment Processing Time
An EdTech firm in Singapore was processing hundreds of student assessments per month entirely by hand. Counselors spent upwards of 90 minutes per student extracting call notes, formatting documents, and chasing approvals — before any student interaction even began.
We mapped the full workflow end-to-end: intake calls, note-taking, document generation, QA checks, and final delivery. Within 17 days we shipped an automated pipeline that transcribed calls, structured the output into templated assessment documents, applied a rules-based QC layer, and flagged edge cases for human review.
The result: counselors now spend minutes, not hours, per student. Throughput increased 6× without adding headcount. QA pass rate held at 95%, with full audit trails on every document.
Automated pipeline
Intake Call
Student session
AI Transcription
Auto-structured notes
Doc Generation
Templated output
QC Layer
Rules-based checks
Delivery
Counselor review
Before vs after
90 min manual note-taking per student
Auto-transcribed in real time
Counselor formats docs from scratch
Templated doc generated instantly
No QA — errors caught in review only
Rules-based QC on every output
1 student processed per session block
6× throughput, same team size
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