Is one of your 2021 objectives to increase digital automation? Are you looking for a solution to transform documents to data? Check out our recent white paper, The GLYNT Guide to Transforming Documents into Data.
The resource covers the massive potential of AI-powered documents-to-data solutions, and lays out the key capabilities to expect. These include:
1) Data You Can Trust
Technology has tackled the challenge of transforming documents to data in the past 20 years, but until AI came along, the error rates remained high. But today is different. Now a rich set of tools can precisely extract all the data from each document. Accuracy matters, and the right solution has the reporting that visibly demonstrates verified results.
2) Simple to Use
Here’s the bigger news: powerful AI is now ready to be put at the fingertips of everyday non-coder users. No matter their background or experience, users can set up an automated workflow, manage a library of flows, and review the results in a matter of minutes with no coding required. If a data error is found, users can correct it instantly and adjust the automation to prevent a repeat.
3) A Scalable Solution
For documents, scalability is both the technical capabilities of handling volume and the additional capabilities needed to handle the variety of document layouts and data schemas. Frankly, if a solution can’t scale, the status quo of no document data or manual data entry remains the best option.
But there is no substitute for seeing a product in action. Contact us for a customized demo of GLYNT on your documents. Ask those questions! Verify the performance! We’d be delighted to demonstrate the on-demand machine learning experience of GLYNT. Documents in, data out. In minutes.
