Addressing Legacy Technology and Disparate Systems
The Fortune 500 insurance company was used to doing things in the same way for decades, and had amassed multiple legacy systems to handle their processing needs. These separate systems didn’t talk to each other, requiring manual data entry to transfer information between them.
Additionally, the company’s existing RPA solution struggled to accurately extract data from invoices. These documents contained handwritten notes, stamps, and fax marks—imperfections that resulted in low processing accuracy, leading to further manual review and correction. And because invoice formats vary widely, they needed a solution that supported the extraction of data from the handwritten invoices from small vendors as well as the multi-page invoices provided by much larger corporations.
With corporate mandates in place and an intelligent automation team to support, the business set its eyes on intelligent document processing.
Seamless Integration with RPA
By integrating Hyperscience with Blue Prism, the organization’s existing robotic process automation (RPA) solution, the company saved time and money. While RPA automates well-defined, rules-based tasks, it is unable to unlock and lift unstructured document data (like the kind contained in PDFs or images). This is where Hyperscience came in.
With Hyperscience’s Blue Prism integration, Blue Prism’s digital workers can send the accounts payable invoices to Hyperscience for automated classification and data extraction. The structured data output files are then picked up and routed downstream.
This flexibility also helped optimize for the future. Instead of being locked into the rigid template design of RPA, they used the application’s built-in machine learning—training digital workers to recognize layout changes. This greatly decreased document processing times, as the solution handles messy handwriting and document imperfections with ease.
