Leverage optical character recognition and natural language processing to automate claims and payment decisions

“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

About Sprout AI

Sprout AI is a non-intrusive solution that enhances your data, offers actionable insights on fraud suspicions and automates your claim processes. Engineering this state-of-the-art tool has been made possible by fusing the power of machines and a vast external data network.  From receiving a claim to the final settlement, Sprout.ai assists your claims & fraud teams every step of the way.

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
Through partnering with a LATAM insurance provider, Sprout AI was able to achieve:

30% of total claims enabled for STP during pilot (75-80% expected for BAU)

70% Uplift in fraud, waste and abuse resolution

97% Overall OCR accuracy

Improved efficiencies and cost reduction

Better pre-processing and great automation help streamline and simplify the entire claims process thereby reducing efficiencies and lowering the total cost of ownership.

Reduce fraud, leakage and wasted effort

Increase overall use of automation reduces the risk of wasted effort and leakage while human checks and approval remain to prevent fraud in the most complex cases, provide the best of both worlds

Faster payment resolution


Clearer, more consistent and effective process enabled by our platform leads to dramatic improvements in payment resolution and a more satisfying overall customer experience. 
New languages and use cases can be made available within just 2-4 weeks..

Schedule a time for a demo


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