Step 1: Jane has filled in her mortgage application form, signs it and sends it via mail. Many countries still have the legal requirement for a physical signature for such documents. 

Step 2: The digital bank can also easily handle this traditional input channel in addition to many digital ones. Her mail arrives in a central scan facility of the digital bank there. It’s automatically taken out of the envelope  put onto a scanner and injected into the capture at this point. Ingo the persona working in the capture department (so-called Input Management Verifier) and being responsible for handling any input management related verification tasks gets involved. Ingo verifies these mortgage application forms that cannot be processed automatically and checks and corrects extracted data that are in doubt he works with a document processing system (i.e., datacap) as his end user client. Normally, the document processing system would process incoming documents completely in the background but in this case a verification step is required because the extraction process flagged some of the extracted data. 

Step3/4: after Ingo verified flagged data, Michelle (mortgage officer) sees that a new verified task with the status of pending. She can pick up the task and start to review the mortgage application. However,  she quickly found the request requires the Jane’s payslip to support her case. So, Michelle notify Christoph, customer representative, to contact customer and collect her payslip. 

Step 5/6: Once michelle completes her task. An automatic activity is triggered to check based on the property address whether a mortgage is already registered for the property or not for this purpose the third party provided land registrar application is consulted. It’s a Java desktop application without an API to call as the digital bank wants to automate as much as possible.The mortgage application handling robotic process automation is used to integrate the land registrar application avoiding any human involvement in this activity as can be seen the RPA bot operates the land register application it opens the application fills in the property address clicks query extracts whether the property is blocked or not and 
The respective message and finally closes the application again.

Step 7 Michelle will later be able to see the result of this activity reflected. That case, Jane has multiple alternatives to provide the payslip to the digital bank . She can again use mail can send an email can upload the document via the general upload capability on the bank’s website or can use the document interchange folder that the digital bank has created.for  interacting with her on her mortgage application as she was sending emails anyway. Jane decides that she will attach a payslip to an email and send it . Making use of datacap’s ability to seamlessly support various input channels the email is alos digitizeed and added to the mortgage application solution. 

Step8/9: There it’s automatically correlated to the correct mortgage application cases payslips are not standardized like the mortgage application form of the digital bank is. Therefore, datacap behind the scenes utilizes automation content analyzer to identify and extract the relevant data like the monthly net income applying ontologies and AI technologies. ADP is suited for  such use cases complementing the capabilites of datacap other than for the mortgage application form the data extraction  and validation passed without the need for further manual intervention 

Step 10: After the payslip was received, Michelle the mortgage officer will be able to continue working on the mortgage application case for Jane. 
rewrite it with clear steps.