Utilize super.AI IDP to automatically capture essential data such as risk factors, mitigation strategies, and assessment outcomes from risk assessment documents, facilitating comprehensive risk analysis.
Fields that can be extracted:
Assessment ID
Policyholder Name
Policy Number
Assessment Date
Risk Assessor Name
Risk Category
Risk Severity
Mitigation Recommendations
Historical Claims Data
Projected Loss Estimates
Adjuster Assigned
Account Number
Account Holder Name
And Many More!
Enhance Risk Identification
Improve the identification of potential risks by automating data extraction from risk assessment documents.
Nexi Group Achieved:
400 hours saved each month by automating the paper-based KYC and AML documentation processes, streamlining the merchant onboarding experience
Increase Efficiency in Risk Evaluation
Accelerate the risk evaluation process by automating data extraction tasks.
Lano achieved:
Near-zero error rate
"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
Improve Decision-Making
Make more informed decisions by ensuring that risk assessment data is accurately captured and readily available for analysis.
Bureau Veritas achieved:
$9M saved annually from reduced churn
Bureau Veritas achieved:
$9M saved annually from reduced churn
Reduce Error Rates
Minimize the risk of errors in risk assessment processes by using AI-driven data extraction.
Lano Unlocked:
New levels of productivity, allowing its team to focus on value-adding activities and strategic growth after automating international pay slip and invoice processing.