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Remittance Software Gives Speed and Accuracy
BCBS solved paper-processing inefficiency with one-step automation
Industry:
Insurance
Volume:
Average volume is 9,000 pages per day
Processing:
Medical premiums and applications from 3.6 million subscribers consisting of mostly paper check payments
"I enjoy working with Mavro because they are honest, down-to-earth people. No fluff – they tell me something and then show they can deliver it."
Cheryl Thomas
Operations Manager of Payment Processing
The Challenge:
Large number of exception payments required research and extended time to process. Even with automated extraction, there was no way to track daily volume in real-time, evaluate operator efficiency or know the time needed to process a payment from beginning to end.
Our Solution:
With a highly advanced infrastructure of Mavro remittance software and OPEX Scanners, BCBS now opens, preps and scans documents in one step. The system automatically extracts and validates data, previously performed manually. High fluctuations in daily volume are easily accommodated and paper never leaves the mailroom.
Disaster planning was expanded and Image Cash Letter electronic deposit was instituted for faster funds availability. Reporting and dashboard tools give real-time visibility into system status and productivity. Now management can see if work is stuck in queue or aging to consistently meet deadlines.
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Implementation Ingredients
Thorough discovery and assessment were especially key to delivering on time and on budget and providing a seamless transition to a new solution. -
Increased Quality All-Around
Automatically extracting data from document images significantly increases accuracy over manual entry for both internal and external customers. -
Accelerated Funds Availability
Image Cash Letter (ICL) uses advanced algorithms to improve check image quality resulting in faster, more convenient deposits and fewer fees. -
20/20 Vision Into MavBridge
Powerful reporting and dashboard visibility gives a clear picture of system health and operator productivity to best distribute the workload and optimize processing quality.