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Use Cases
Letter Dispute Verification Process
Banking
Financial Services
AI

Letter Dispute Verification Process

Automating the end-to-end verification of banking dispute letters by intelligently extracting multi-source data and cross-validating records across Oracle, Dispute System, and Payment CRM.
SharePoint
Oracle
Dispute System
Payment CRM
Microsoft Excel
Reduction in Average Handling Time
24 → 9 Minutes
Reduction in Required User Actions
202 → 27 Actions
Annual FTE Savings
15 FTE
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Reduction in Average Handling Time
15 → 5.5 Minutes
Reduction in Required User Actions
180 → 18 Actions
Annual FTE Savings
6.2 FTE
Faster Dispute Resolution Cycles
100% Data Accuracy Across Systems
Audit-Ready Error Logging
Lower Operating Cost
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Content
Background Info
Process Overview
UX Improvements
How it Works
Background Info
Type of Company: Retail & Commercial Banking / Dispute Resolution Department
Business Process Scenario:

Associates must manually download dispute letters from SharePoint, extract transaction details from accompanying Excel sheets, and then perform a "triple-check" by searching for those specific transactions across three different legacy and web-based banking systems. For letters with dozens of transactions, this requires hours of repetitive searching and re-keying.
# of Monthly Transactions: 4,000+
Process Overview
Task Description
  1. Manually identify and open dispute letters in SharePoint
  2. Extract customer and transaction data from PDFs and Excel sheets
  3. Search and validate rows across Oracle, Dispute System and Payment CRM
  4. Manually cross-check AUT codes and merchant credits
  5. Compile error logs and investigation summaries for complex cases
Assisted Task with Matterway
  1. Automated classification of Local, Vendor, and PD Teller letters
  2. Dual-source extraction (PDF & Excel) with AI-parsed summaries
  3. Automated "triple-system" validation across Oracle, Dispute System, and CRM
  4. Intelligent row-by-row looping for multi-transaction disputes
  5. Real-time comparison view of data from three different sources
  6. Context-rich error logging with AI-generated resolution suggestions
UX Improvements
Manual extraction of data from dense PDF and Excel tables
High "swivel-chair" effort between three separate banking systems
Difficulty tracking errors across multi-row transaction disputes
End-to-end task completion within a single guided interface
Zero manual data entry during the multi-system validation loop
Consolidated error logging that prevents workflow interruptions
Matterway Solution: How it Works

The Assistant automates the end-to-end verification of banking dispute letters, from initial data extraction to cross-system validation. By operating directly over SharePoint and core banking applications, it eliminates manual data entry and ensures 100% accuracy across complex, multi-row transaction disputes.

1
Automated letter detection and classification

The Assistant triggers automatically upon opening the SharePoint site. It identifies the letter type, such as Local, Vendor, or PD Teller, and retrieves the associated PDF and Excel files, queuing the correct validation workflow for the associate.

2
Intelligent data extraction

The Assistant extracts customer details and transaction data from both the PDF and Excel spreadsheet. It parses fields like card numbers, merchant names, and dispute summaries, presenting them in a structured view for the associate to review or edit.

3
Customer record validation

Using the extracted Parent ID, the Assistant navigates Oracle to locate matching customer records. It validates every transaction row against the CRM data, including transaction types, merchant names, and specific investigation statements.

4
Multi-system cross-referencing

The Assistant logs into Dispute System using the verified account and CIF numbers. It retrieves the complete transaction history and highlights the specific rows for comparison against Oracle and the original PDF source in real time.

5
Payment record reconciliation

To complete the validation loop, the Assistant accesses the Payment CRM. It automatically verifies AUT codes, reconciled amounts, and transaction dates, highlighting every field to ensure no discrepancies exist before finalization.

6
Automated verification and secure archival

Once the Assistant completes the systematic validation loop for all transaction rows, it automatically logs the dispute files to a verified folder. This ensures all processed data is securely archived and organized for immediate final review.

7
Exception tracking and error logging

If a mismatch is found, the Assistant allows the associate to log the error and proceed without halting the workflow. It captures the full context, including system, field, and expected vs. actual values, to generate a comprehensive error report with AI-suggested next steps.

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Matterway is an enterprise-grade, AI-native intelligent assistance platform that simplifies complex employee workflows for large organizations and BPOs. Combining AI agents, automation, UX, and human-in-the-loop capabilities, it helps amplify human potential at scale. Acquired by Cognizant (Nasdaq: CTSH) in October 2025.
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