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Usefull solution to extract the data from the different accord forms

ad6111ee-17aa-4a73-9e2b-63ac23e8fb9e.zip

Extracting data from different types of documents is one of the big challenges and a monotonous time-consuming activity, as we cannot pull the data from unstructured PDF files, forms etc. Plus we are not able to process multiple documents at a time.

This solution is useful for extracting the data from multiple PDF files, invoices, accord forms, scanned images and hand-written documents. It is able to identify the checkboxes as well, it can extract the data from any type of structured, semi-structured or unstructured document by using document understanding techniques​.

This solution helps with extracting the data from multiple PDF files, invoices, accord forms, scanned images and hand-written documents.

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6a3eee29-b1bf-4db1-a1db-deb1957c1778.pdf

9ac81092-f37a-426a-986d-c6c3f064a696.zip

Validate the data as per the requirement.​  

Reduced processing time per item 100%. ​

Acord Form & other unique document types data extraction by using Intelligent Document Understanding functionality.

Extracting varied data from different types of documents is a key challenge and a monotonous time-consuming activity for insurers, as the pattern and format of such documents appear unique which is a cumbersome task of not being able to extract the data from these documents quickly.  The documents that need to be processed are either structured, unstructured, or semi-structured Acord forms, schedules, loss runs and so on.

Since the amount of data to be extracted from these set of documents is varied, it becomes a difficult task to understand the importance of data to be extracted as well as to process multiple documents in a single go that are typically received as email attachments during a new business submission or claims intake process.

This solution is useful for extracting these unique data from multiple document types and formats that may be printed, scanned images or hand-written. By using the intelligent document understanding functionality, it becomes simpler to identify and understand the data elements and data types that need to be extracted from different intake document types.

Extract the data from unique structured, semi-structured and unstructured Acord forms, schedules, loss runs etc. that are printed – PDF files or scanned images and hand-written documents.

1. Reduce submission intake processing time by 30 – 40% and respond to brokers/agents faster.

2. Enhance operations teams productivity by enabling to increase the daily transaction processing count by 20%.

3. Reducing the new submission and claims intake processing cost by 25 – 30%.

4. Improve processing accuracy and eliminate process leakages, re-work/errors.

Extracting varied data from different types of documents is a key challenge and a monotonous time-consuming activity for insurers, as the pattern and format of such documents appear unique, which is a cumbersome task of not being able to extract the data from these documents quickly.  The documents that need to be processed are either structured, unstructured, and semi-structured Acord forms, schedules, loss runs and so on.

Acord Form & Unique Document Data Extraction

Acord Form & Unique Document Data Extraction

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