2026 Education technology
A licensed bank in Malaysia
10,000 Account Conversions a Day, Unattended
A bulk conversion pipeline that replaced a 17-person manual operation and cut the error rate by more than 80%.
CHALLENGES
A 17-person team manually reformatted 10,000+ account records a day—and roughly one in eight came back wrong.
OUR APPROACH
Encode the Template, Not the Task
The rules were consistent; only the volume made them hard. We built a converter that reads source records and produces the destination bank's format directly, validating each one against the target schema before it's written. Anything that fails validation is flagged rather than silently passed through — errors that used to be discovered downstream now surface at the point of conversion.
It runs unattended at full volume. We operate and maintain it under an ongoing support plan, so schema changes on either side are handled by us rather than becoming the bank's problem.
THE RESULTS
Same Volume, Fraction of the Cost, Fewer Errors
At 10,000 records a day, a 12% error rate meant around 1,200 corrections daily. Under 2% means fewer than 200 — and those are caught by validation instead of found later.
10,000+ / dayaccounts converted per day
17 → 1person operation, now unattended
A 17-person operation now runs unattended.
2026 Field services
The Cost of Getting It Wrong a Third of the Time
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2026 Capital advisory / investment services