Manual toll refund processing creates operational inefficiencies with hours spent on email screening, document verification, and approval decisions. These bottlenecks frustrate customers with multi-day resolution times while driving up operational costs that limit transaction volume scalability.
I engineered an intelligent workflow automation system that processes toll refund requests from initial email capture through final approval decision with minimal human intervention.
Key capabilities:
- Automated Gmail capture and AI classification
- OCR and NLP for document data extraction
- Historical analysis for fraud prevention
- Intelligent routing to Jira for complex cases
- Automated approval with tailored customer responses
The system delivers 95% faster processing times while eliminating 80% of manual work and achieving zero data extraction errors. Customer satisfaction improves measurably through rapid, consistent decision-making. The architecture handles 10x transaction volume without proportional staffing increases, making it ideal for toll operators, transportation agencies, and financial institutions requiring scalable refund processing capabilities.