Learning post-processing for a completeness check

Before diving deeper into the implementation of how to use post-processing for a completeness check, first, let’s understand the requirements of the Review and Verification stage of the IDP pipeline. In the previous stages of IDP, we discussed how to extract data from documents. Looking inside the documents, we can validate that the key fields needed to process documents meet the accuracy standards set by the business requirements. Most of the time, business uses simple business rules such as whether key fields such as Name or ID are not empty. For example, in a claims form, you want to make sure the Insured ID is always filled in for it to be processed promptly. While we used relatively simple rules in the previous example, you have the ability to construct more complex rules based on your business needs – as an example, reimbursement of over $100,000 (or for X amount) always requires human attention or an additional...