Document automation has indeed been beneficial in handling large volumes of documents in our organization, where we process product-related data sheets that range from 80 to 120 pages, efficiently extracting data that would take a human several hours to read manually.

We have used document processing from the beginning. We have a few use cases running in production, processing thousands of documents. With the success rate of more than 80%, it's efficiently extracting data for us.

we are doing over eight to 10,000 invoices a month, which people had to do before, while now the automated process is doing that without too much human intervention, saving probably about at least two to possibly three FTEs per week.

In terms of processing large data sets of documents, Document Automation has introduced many new features compared to the predecessor versions of IQ Bot, which we have used in the past; the improvements have been significant, especially with the Generative AI features that help in finding and identifying fields.

Document automation often comes up with our clients, where the processes we're working in still transfer faxes and other traditional documents that must be uploaded, with data extracted and input into a process, whether that's faxes for scheduling appointments or things such as benefit determination, sometimes following up on authorizations for services. Document automation is a really important feature and component to solving these problems.

Currently, we are using Document Automation with Automation Anywhere. Document Automation has had a significant impact on efficiency and productivity for us. The project I was mentioning was completed in two weeks. Our DSO was being impacted because of the backlog. In a short amount of time, we were able to reduce it by 38%, which was incredible.