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AI Workflow AutomationEdTech · Singapore
17 DAYS

85% Reduction in Assessment Processing Time

85%Faster per student
Throughput increase
95%QA pass rate

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

01
INPUT

Intake Call

Student session

02
AI

AI Transcription

Auto-structured notes

03
PROCESS

Doc Generation

Templated output

04
AI

QC Layer

Rules-based checks

05
OUTPUT

Delivery

Counselor review

Before vs after

Before
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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