Automate Critical Data Extraction for Underwriting
Use super.AI IDP to efficiently extract vital information such as applicant history, risk factors, and coverage details from underwriting documents, supporting thorough and precise risk evaluations.
Fields that can be extracted:
Applicant Name
Application Date
Policy Number
Type of Insurance
Requested Coverage Amount
Proposed Premium
Underwriting Decision
Credit Score
Adjuster Assigned
Account Number
Account Holder Name
And Many More!
Accelerate Underwriting Decisions
Reduce the time required to make underwriting decisions by quickly extracting and processing key data from documents, enabling faster and more informed risk assessment.
400 hours saved each month by automating the paper-based KYC and AML documentation processes, streamlining the merchant onboarding experience
Enhance Scalability of Underwriting Processes
Scale your underwriting processes efficiently as your business grows, with IDP that adapt to handle larger volumes of documents without a drop in accuracy or performance.
"When we saw the quality of the automatically retrieved information from a piece of paper, we didn’t want a human comparing or inputting the information. With super.AI it was really reading 99.9% of all the information in the document and allowed us to get rid of this manual process."
– Hagen Gall, Head of Merchant Onboarding and Operations Technology
Reduce Operational Costs
Cut down on operational costs associated with manual data entry and document handling in underwriting.
New levels of productivity, allowing its team to focus on value-adding activities and strategic growth after automating international pay slip and invoice processing.