
Sprout.ai's Technology In Action










Optical Character Recognition
Our 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.

Natural Language Processing
One of Sprout.ai’s NLP application:
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.Policy Check
Once NLP has interpreted the policy document, our solution will then match this to the description of the claim to automatically check whether the claim is covered under the customer’s specific policy.


Enrichments
- Sprout.ai leverages all unstructured data from a claim to acquire more information using external providers
- We enrich ‘data sprouts’ from individual claims by up to 300%, with real-time information sourced from web-based and public data sources
- All sources of data are acquired from GDPR compliant data providers therefore there is no risk of a data breach
- Simultaneously checking for fraud, abuse and outliers referring to both macro and micro level data sources
- Sprout.ai can analyse the structured data held by the insurer to provide context and recommendations




Claims information extracted from claim documentation provided by customer


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



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











Claims information extracted from claim documentation provided by customer


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


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








