Landing page – IntroductionSprout

An opportunity to reduce manual data input and manual claims processing and
reducing settlement times by 90% using Sprout.ai proprietary AI engine

Product capability

  • Extract unstructured information
  • Automatically check policy information
  • Automatically assess claim validity
  • Enrich claim information
  • Fraudulent claim detection

Optical Character Recognition

Our OCR translates all unstructured data such as handwritten medical reports and prescriptions into structured daOur OCR translates all unstructured data such as handwritten medical reports and prescriptions into structured data. Once OCR extraction is complete, the data will be matched against the policy interpreted by NLP.

Policy checking

Sprout.ai generates contextual reasoning through using NLP and Knowledge Graphs. NLP is used to understand the contents of the policy document and enables us to build the rules within the policy to automatically check whether the claim is valid in regard to the policy agreement.

Claims automation of the year

Insuretech of the year

Claims Collaboration of the year

Excellence in Technology and Claims

A fantastic example of a collaboration which provides a true solution to some of the issues that often stand in the way of creating customer loyalty and helping rebuild trust in our sector.

Amy Brettell

Zurich’s Head of Customer, UK Claims

Claim Recommendation
Sprout.ai vs Human Capabilities

Claims information extracted from claim documentation provided by customer

Text Extraction

Claim details extracted and checked against the policy to see whether it is included

Policy Checking
If claim does not fit the policy, claim handlers will need to verify if a claim is covered manually by checking policy and policy attachments

Claim is checked for to see if it is related to any fraudulent activity or if the customer has a fraudulent past using APIs

Fraud Check
If possible fraud is found, claims will be manually checked based on claims handlers experience of whether this should be referred to SIU (Special Investigation Unit)
Items with missing invoices can be validated and claimed price of products are validated again with further APIs
Missing Invoices
If the price of products cannot be validated, the claim is reviewed by the supplier network who will charge the insurer to find accurate prices of claimed items
Claim Turnaround Time
Operational Costs
Fraudulent Claim Detection
Claim Approved
Text Extraction

Claims information extracted from claim documentation provided by customer

Policy Checking

Claim details extracted and checked against the policy to see whether it is included

Fraud Check

Claim is checked for to see if it is related to any fraudulent activity or if the customer has a fraudulent past using APIs

Missing Invoices
Items with missing invoices can be validated and claimed price of products is validated again with further APIs
Claim Approved
Claim Turnaround Time
Operational Costs
Fraudulent Claim Detection
If claim does not fit the policy, claim handlers will need to verify if a claim is covered manually by checking policy and policy attachments
If possible fraud is found, claims will be manually checked based on claims handlers experience of whether this should be referred to SIU (Special Investigation Unit)
If prices of items cannot be validated, the claim is reviewed by the supplier network who will charge the insurer to find accurate prices of claims items

Ready for Sprout.ai?

Submit the form below to download our white paper

About Sprout.AI

Sprout.ai automates all of the steps involved after filling an insurance claim, a process that is currently slow and inefficient.

Sprout’s market-leading technology is the only end-to-end solution from a moment a claim is filed to the end outcome whilst also filtering for fraudulent claims and leakage.


8 Warner Yard,London,
EC1R 5EY, United Kingdom

Resources

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