Case Study: SafeRide Health achieves 80% less manual work in driver credentialing with Nanonets

A Nanonets Case Study

Preview of the SafeRide Health Case Study

SafeRide Health reduces manual credentialing work by 80% with Nanonets

SafeRide Health, a non-emergency medical transportation provider, faced a major challenge in manually processing 15,000 pages of driver and vehicle credentialing documents each month. This manual effort, which took approximately five minutes per document across 16 different types, created a significant bottleneck and compliance burden. To solve this, they turned to Nanonets for its AI-powered document automation.

Nanonets implemented an autonomous AI agent that integrated with ShareFile and Salesforce. The solution automatically classified documents, extracted and validated data, and exported records, fully automating the process. This resulted in an 80% reduction in manual workload, a 500% increase in team productivity, and annual savings of $31,720, allowing SafeRide Health to scale its operations efficiently.


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