M-Pesa Statement Parser case study · FinTech / AutomationA three-day reconciliation, cut to two hours

Reads payment statements, classifies every transaction and builds the reconciliation report.

Overview

A financial services firm reconciled statements from hundreds of agents by hand. We automated it.

The challenge

Three days of copy and paste

Each month, a team typed hundreds of transactions from PDFs into spreadsheets. Errors flowed into commissions and billing.

What we built

Statements in, reports out

The pipeline reads every statement, classifies each transaction and produces the report. The team reviews results instead of typing them.

The results

What changed for M-Pesa Statement Parser.

  • Three days down to under two hours
  • Zero manual data entry
  • An automatic audit trail
  • More agents without more staff
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