Case study
Reconciliation Automation Across Banks
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).
Reconciliation Time
Reduction in Reconciliation
Decreased
Manual Errors
Virtually eliminated human errors
Automation Success Rate
Upload Accuracy
Increased
Objectives
Automate reconciliation across diverse banking formats
Integrate seamlessly with Oracle ERP for consistent uploads
Reduce dependency on manual intervention and improve audit trails
Accelerate month-end and compliance reporting
Key Results & Analytics
Metric
Outcome
Key Analytics
Our Approach
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.
Engineering & Integration
Use of OCR to extract closing balances and transaction details from PDFs, Excel, Word, etc.
Integration with Oracle ERP’s reconciliation modules
Implementation of validation rules and match logic across all statement formats
Deployment of accelerators via RPA Solution Factory
Client Satisfaction
"From high-volume chaos to accurate reconciliation in seconds—this was a game changer for our finance ops."
5.0
/ 5.0
Multi-bank Finance Operations Team
Client