Challenge
A U.S.-based bank, processing thousands of financial transactions daily, faced a major operational bottleneck: the manual handling of roughly 2,500 monthly exception transactions, 80% of which involved checks. Each required a decision—pay, return, or investigate—based on complex rules.
This manual process was time-consuming, error-prone due to inconsistent scanned check layouts, and relied on outdated string comparison methods that frequently resulted in false positives, ultimately delaying resolution and impacting customer experience.
Solution
To eliminate inefficiencies, the bank partnered with us to implement an intelligent, end-to-end automation solution using UiPath and Azure AI services.
The solution used bots to navigate banking systems and analyze exception transactions according to predefined rules. For check-related transactions, Azure Document Intelligence extracted data from varied scanned formats, while Azure OpenAI refined this data and enabled advanced semantic comparisons to make human-like decisions—far surpassing traditional matching techniques.
Business Value
The impact was immediate:
- 90% automation rate of exception cases
- Decision time cut from minutes to seconds
- 2,500 transactions/month processed with minimal oversight
- Significant improvement in accuracy and customer service response times
- A modular, scalable solution ready for future expansion
Download the full case study to explore the implementation details and discover how intelligent automation can transform your operations.
