The Federal Agency faced a growing backlog of hundreds of thousands of claims in a variety of formats, including mail, fax, and electronic submission—almost all containing handwritten text.
With nearly nine million Veterans in need of assistance, the agency needed to shorten its three-months processing time. To do so they launched a mission to automate incoming mail claims.
The agency needed a solution that integrated with their existing tech stack—something that was easy to implement, simple to use, and empowering for employees and customers. They found all that and more with Hyperscience.
No other solution could deliver the same level of accuracy and automation across such a large volume of documents.
The agency was up and running just two months after the contract was signed. In the first three months, they automatically processed 115,000 claims—more than one million pages.
They’re now targeting (and exceeding) over 96% accuracy and 99% automation. They’re saving $45 million a year, and have helped more than 800 employees find greater purpose in their work.
Watch this short platform demo to see how Hyperscience leverages proprietary Machine Learning to extract data from complex documents.