Intelligent Document Processing Using AI

Government organizations operating in industries like commerce, education, energy, and health & human services frequently deal with a large number of papers. 

To maintain the greatest levels of customer satisfaction, expedite customer onboarding, and reduce customer churn, it is essential to make decisions based on the vital information recorded in these papers on time. 

Manually processing documents to extract information and insights is time-consuming, costly, prone to error, and challenging to scale.

Many businesses dedicate a dozen employees from various departments to fulfill the job of document imaging and data collection to process papers. Now the question arises how can an organization solve this issue and improve workflow efficiency? 

AI and machine learning techniques offer an intelligent solution by processing imaged documents to identify and extract key data from the forms and then route that data for either automated processing or human review.

Forms are received in a variety of formats and converted to images before the necessary data is extracted through a series of processing stages. Reviewers can inspect the outcomes of each processed image in queues where the results are pushed.

Alternatively, the system can also be configured for automated approval of those findings. The data is subsequently mapped into the core systems downstream, including the underwriting platform, policy admin, e-contracting, and claims systems, after receiving human or automated clearance.

It's crucial that the solution is entirely cloud-based for two reasons. First, since there is no official installation into the office infrastructure, it considerably reduced the implementation burden. Second, the use of machine learning techniques at the scale required access to significant computational power.