Executive Summary
The client required an automated solution to perform daily three-way reconciliation of payment data across multiple systems. The existing process involved manually collecting payment information from two internal applications and a banking portal, followed by reconciliation and report preparation.
An RPA solution was implemented to automate data extraction, reconciliation, and reporting. The bot now performs end-to-end reconciliation across systems and shares a consolidated report with users. This reduced the daily processing time from 45 minutes to 20 minutes, improving accuracy and operational efficiency.
Client Background
The client operates in a transaction-intensive environment where payments are received through multiple channels,including online transactions and cash payments. Payment data is maintained across two internal applications, while bank confirmations are accessed via a banking portal.
The finance and operations teams are responsible for ensuring daily reconciliation accuracy to maintain financial integrity and compliance.
Business Challenge
Before automation, the reconciliation process was fully manual and involved:
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Logging into multiple internal systems to extract payment details.
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Accessing the banking portal to download settlement information.
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Manually comparing data across three sources.
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Identifying mismatches and preparing reconciliation reports.
Key challenges included
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High manual effort and time consumption (45 minutes daily).
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Increased risk of reconciliation errors.
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Delays in identifying discrepancies.
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Limited audit trail and inconsistent reporting format.
Given the criticality of financial accuracy and compliance, the client opted for RPA to streamline and standardize the reconciliation process.
Objectives
The objectives of the automation initiative were:
Primary Goals
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Reduce manual effort in daily reconciliation activities.
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Improve accuracy and consistency of reconciliation results.
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Speed up discrepancy identification.
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Standardize reconciliation reporting.
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Ensure reliable audit trails.
Success was measured using KPIs such as daily processing time, error reduction, and reconciliation completeness.
Solution Approach
The automation solution was designed and developed using UiPath to ensure end-to-end workflow coverage, integrating multiple systems seamlessly.
RPA Tool:
UiPath
Automation Scope:
End-to-end three-way reconciliation
Key Automation Features:
- Bot retrieves payment data from:
- Internal Application 1 (online transactions).
- Internal Application 2 (cash payments).
- Bot logs into the banking portal and extracts settlement data.
- Performs three-way reconciliation by matching transaction references, dates, and amounts.
- Identifies matched transactions and exceptions.
- Generates a structured reconciliation report highlighting:
- Matched records.
- Unmatched or mismatched transactions.
- Automatically emails the reconciliation report to users.
Robust exception handling and detailed logs were implemented to support audit and compliance requirements.
Implementation Journey
The implementation followed a phased delivery approach:
- Process discovery and reconciliation logic definition.
- Data extraction design for internal systems and banking portal.
- Bot development and unit testing.
- End-to-end reconciliation validation with finance users.
- UAT, production deployment, and post-go-live support.
Close collaboration with finance, IT, and compliance teams ensured accuracy and regulatory alignment. Data format inconsistencies were addressed using normalization and validation rules.
Results / Outcomes
Quantitative Results
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Daily reconciliation time reduced from 45 minutes to 20 minutes.
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Significant reduction in manual effort for finance teams.
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Faster detection of discrepancies.
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Improved SLA adherence.
Before RPA
Manual data extraction, slow reconciliation, higher error risk.
Qualitative Benefits
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Increased confidence in financial data accuracy.
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Standardized and audit-ready reconciliation reports.
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Improved employee productivity by eliminating repetitive work.
After RPA
Automated, accurate, and faster three-way reconciliation.
Business Value Delivered
The automation delivered measurable business value by strengthening financial controls and improving operational efficiency. It enabled consistent daily reconciliation without dependency on manual effort and ensured timely visibility into payment discrepancies.
The solution aligned with the client’s broader digital transformation and finance automation goals, creating a scalable framework that can be extended to additional payment sources and reconciliation scenarios in the future.
