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Empowered and digital-native consumers want fast, seamless service when they file a claim.
The more time and resource is required for processing, the less opportunity for profit and competitive advantage.
Digital-first competitors are putting the squeeze on traditional insurance companies.
Automating the claims process with Indico Data enables you to accurately approve, adjudicate or deny the right claims, as well as better detect inconsistent claims.
By automating claims intake you can accelerate both the initial response and settlement processed, driving better customer experiences and reducing customer churn.
Indico Data allows you to reduce intake process costs while managing surges in claims volume, so that you can keep up with customer demand.
At the heart of Indico Data’s solutions is DocumentDNA, our proprietary approach to modern AI and machine learning. DocumentDNA enables seamless multi-channel, multi-document intake for any format, using accurate, automated processes that keep your employees “in the loop” – giving you the power to make more informed decisions faster.
Powered by an AI-driven, multimodal fusion approach to document understanding, we gather both semantic and visual information to drive decisioning.
Our unique approach to transfer learning enables you to build custom ML models with as few as 200 sample documents – not thousands.
Enabled by a patented ML interface, non-technical users can create custom models with our “bionic-arm” approach to stay in the loop of the processes they are automating.
We’ve identified almost $100 million in hard value, hard dollar savings, that we can quite easily achieve over the next three to four years using unstructured data digitization and analytics tools. That just headlines how impactful this is.
