- 100%Forms processed in 2 days
- 28%Automatically approved
- 68%Forms identified as empty or non-compliant
The challenge
The client needed to automate the process of reconciling forms submitted by tow-truck operators. The forms often handwritten and irregular, record roadside assistance services and related payments, making manual reconciliation slow and error-prone.
Our approach
Implementation of OCR-based system capable of reading complex handwritten forms, extracting the relevant information, and classifying it for fast and accurate reconciliation.
The impact
Forms processed in 2 days, drastically reducing reconciliation time
Automatically approved and only 4% requiring manual verification
Forms identified as empty or non-compliant
Clear classification for follow-up and improved accuracy
Reduced errors in data reconciliation
Related stories
HUMAN RESOURCES−Call center volume
An alternative digital channel to the call center
A mobile web app that lets customers open a roadside assistance case directly from their smartphone — cutting call-center load.
FINANCE & CONTROL70%+Straight-through processing
Reducing manual effort in Finance operations
Straight-through processing across cash-ins, invoices and payments, with exception-driven operations.
HUMAN RESOURCES−50%Average call duration
Reducing call-center handling time with AI
Operators retrieve immediate, source-backed answers via chat during a call, powered by Aevoluta's Sophia AI model.