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CLIENT WORKFintech · Singapore

Document & reconciliation automation that saved a day a week

We built a document-and-reconciliation pipeline that removed a recurring weekly bottleneck.

12

Hours saved weekly

99%

Match accuracy

Faster close

The challenge

Finance staff spent the better part of a day each week manually matching documents and reconciling figures.

Our approach

We built an extraction-and-matching pipeline with confidence scoring and human review for the edge cases that genuinely need it.

Expected impact

The weekly bottleneck became a brief review, accuracy improved, and the close cycle sped up across the board.

Built with

Document AIAutomation pipelinesPythonGCP
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neuralyug@gmail.com · Kathmandu, Nepal