Process a large number of Loss Run files, from many Carriers, with files in various formats. The bots then automatically process these files, and data is extracted in the desired form rapidly while emitting any human-induced errors.
The bots pass captcha and extract data from websites. First, they open a website and perform a search based on a pre-defined criterion. Then use those results as input to another website where they solve the captcha and obtain another set of results. The data was extracted to Spreadsheet and JSON and emailed to business team members.
Customer Support Representatives get quote requests on mails and are expected to enter data into the portal, get the estimated premium, and respond to the mail with the premium. RPA script can open the quote pdf in the mailbox, scrape quote data & enter the same to the carrier's portal to get the premium. Once this process is done, it automatically responds to the mail, with the quote number reference from the portal.
Automate the process of log-in on to green screen system, navigates through to run a report for the patients due for an appointment today. The report contains the insurance and claims data. The data in the report can be extracted and entered into a web-based shared Smartsheet to be available to the users having access to this sheet at a common location.
Users had to manually navigate through several web portals, Excel files, and PDFs to retrieve data; this data was then entered into a green screen AS/400 system. RPA script automates the data retrieval (disparate sources) process and uses an aniSeries terminal emulator to automate the data entry into the green screens.
Customer Service Agents manually check each policy before issuance by comparing policy data entered in multiple forms and generating a validation summary sheet. RPA scripts, coupled with computer vision activity, can be used to automate this verification process and develop the summary sheet. It can also trigger alerts if any deviations are encountered.