The client, a financial services operations group, was responsible for reconciling large volumes of bank transactions daily. Each participating bank used different formats for statements, creating significant variability. Reconciliation required manually extracting, reviewing, and uploading transaction details into Oracle ERP (ORION).
reduction in reconciliation time.
manual errors.
automation success rate
A financial services firm manually reconciled high-volume bank transactions from varied statement formats into Oracle ERP (ORION), causing delays, compliance risks, and team friction due to inefficiencies and human errors in the time-intensive process.
Multi-bank Finance Operations Team
Financial Service
India
reduction in reconciliation time.
manual errors.
automation success rate
We designed a multi-layer automation system using RPA bots and OCR engines to intelligently extract, validate, and process bank transactions. These bots were connected to Oracle ERP (ORION) and configured to perform four types of reconciliation matches.
The bots not only handled file ingestion and validation but also triggered rule-based error detection, dramatically reducing human involvement and error rates.
A financial services firm manually reconciled high-volume bank transactions from varied statement formats into Oracle ERP (ORION), causing delays, compliance risks, and team friction due to inefficiencies and human errors in the time-intensive process.
Multi-bank Finance Operations Team
Financial Service
India
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Metric
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Outcome
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|---|---|
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Reconciliation Time
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Reduced by 90%
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Error Rate
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Virtually eliminated human errors
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Compatibility
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Handled 25+ different bank formats
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Upload Accuracy
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100% automation success rate
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